Automobile

Management Trainee

Overview Start your career with Enterprise Mobility! We’re hiring for our respected Management Training Program. Whether you see yourself in sales, business development, customer service, retail management, or operations, as a manager in training, you can count on a career path with a clear beginning and an open end that’s full of opportunities. With training, development, mentoring, and a culture of promotion from within, you’ll always be progressing in your career. This position is located in the Ann Arbor, MI. Area We offer a robust Benefits Package including, but not limited to: Competitive Compensation - This position offers targeted 1st year annual compensation of $51,500 with an average 45 hour work week. Paid Time Off , starting with 19 days off per year Health, Dental, Vision insurance ; Life Insurance; Prescription coverage Employee discounts on car rentals, car purchases and much more! 401(k) retirement plan with company match and profit sharing We’re a family-owned, world-class portfolio of brands and leading provider of mobility solutions worldwide. Founded more than 65 years ago with a commitment to the communities that we serve, we operate a global network with 90,000 dedicated team members across nearly 100 countries, and more than 2.3 million vehicles taking our customers where they want to go. We owe our success to each and every one of our people. That's why we empower everyone on our team with opportunities for growth. Responsibilities We are now hiring for immediate openings in our Management Training program. As a MT, you’ll start learning our business from day one while based out of one of our neighborhood branches. You will be entrusted to serve as both the face of Enterprise to customers and partners and the behind-the-scenes operational expert. In our structured program, you will master the knowledge and skills you need to eventually run your own branch, cultivate new business and develop your team. In our hands-on learning environment, you will receive the guidance, mentoring, and support you need to be successful. You will also get out into the community and establish the relationships essential to building your own business. We’ll teach you how to excel at customer service, sales and marketing, finance, and operations. And you’ll learn what it means to always put our customers first. Ours is a culture of friendly competition, which is critical to growing our business — and your success. Equal Opportunity Employer/Disability/Veterans Qualifications Must have a Bachelor's degree completed prior to the start date, though candidates may begin the interview process up to two semesters before graduation. Must have a valid driver's license in with no more than two moving violations and/or at fault accidents on driving record in the past three years. No drug or alcohol related convictions (DWI/DUI) on driving record in the past 5 years. Must be at least 18 years old. Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. Must have at least 6 months of work experience in sales, customer service and/or leadership/management experience. Could include leadership experience in organizations/clubs, volunteer work/community service, athletics or military service.

  • Fairmont, WV

  • no content

Account Executive, Business Sales

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview The Account Executive, Business Sales role at T-Mobile is designed for ambitious, results-driven sales professionals who are passionate about building stellar customer relationships and bringing T-Mobile's unmatched products and services to underserved markets. This is a true hunter role where you can exceed sales quotas, acquire new accounts, and turn the wireless industry on its head with small businesses (1-9 employees). In this role, you'll achieve and surpass monthly sales targets by prospecting, cold-calling, networking, and generating leads to gain new business within an assigned geographic territory. You'll analyze customer needs and use solution-based selling to showcase T-Mobile's value, tailoring recommendations and closing deals. Job Responsibilities : Lead Generation: Generate and work leads through prospecting, cold calling, and networking under sales manager supervision. Customer Needs: Identify customer needs and use solution-based selling to demonstrate T-Mobile's value. Recommend wireless solutions, including price plans, data services, handsets, and accessories. Deal Negotiation: Negotiate and close deals. Skill Development: Develop skills in prospecting, call execution, and relationship management with leadership. Participate in product training and sales meetings. Sales Approaches: Create effective sales approaches, solutions, and proposals. Sales Automation: Utilize sales force automation, manage sales funnel, and report on sales activities and forecasts Customer Base: Maintain and grow the customer base within a territory model. Education and Work Experience : High School Diploma/GED (Required) 1 years verifiable new customer acquisition sales experience, preferably within a commissioned environment (Preferred) Outside B2B sales experience. (Preferred) Knowledge, Skills and Abilities : Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking (Required) Customer Service Demonstrated experience delivering superior customer service and attention to detail (Required) Communication Excellent interpersonal, written, and oral communication skills (Required) Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required) At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No): Yes DOT Regulated : DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Pay Range: $71,700 - $129,500, inclusive of target incentives Base Pay Range: $43,020 - $77,700 The pay range above is the general base pay range for a successful candidate in this role. The successfulcandidate's actual pay will be based on various factors, such as work location, qualifications, andexperience, so the actual starting pay will vary within this range. To find the pay range for this rolebased on hiring location, click here . At T-Mobile, employees in regular, non-temporary Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com . Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [email protected] or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

  • Allentown, PA

  • no content

Dining Room Attendant Private School

Dining Room Attendant Private School Full Time Employee Benefits Eligible Pay Rate: $17-$18 an hour Brock & Company is the premier provider of contract food management to corporations and private and independent schools throughout the Mid-Atlantic and New England regions. Our aim is to deliver outstanding quality food services exceeding our clients’ expectations every day. With an extensive array of clients, Brock has a formula for success that is simple. We focus on top quality products combined with people who have a passion for food and service. Brock provides a family-owned, corporate supported, financially sound organization that is committed to our clients and associates and is always striving for excellence. As a member of the Brock team, you will experience a work schedule that allows for a quality of life. Our food programs are dynamic, the menus cutting edge and creative. We welcome your input to implement, solve problems, and help drive these programs to success. You can influence the outcome, and we will give you the tools to be successful. Our programs have made significant improvements in the daily work lives of our customers and clients by providing healthy, nutritious menus at all meals. The dining room attendant is responsible for maintaining a clean and organized dining room. This includes tables, chairs, trash receptacles, condiments and other dining room services as directed by the supervisor. The above shall be achieved while providing exceptional customer service in a courteous, helpful and friendly manner. Essential Duties and Responsibilities Maintain a clean and organized dining room including chairs, tables, trash receptacles, condiments and other areas determined by the supervisor. Operation of the following equipment: floor vacuum, brooms, mops, wringers, buckets, sanitation towels and chemicals Comprehension and compliance of both verbal and written directions assigned by the supervisor. Comprehend and comply with all company procedures, rules and policies. The removal of trash, waste, and spills on the dining room floor during serving periods. Must be able to stand for extended periods of time. Adhere to client and company protocols related to COVID-19 workplace safety and sanitation standards. Lifting and moving of food, food containers and other non-food items from floor position to no higher than one’s own height. Follow all outlined safety regulations with regard to equipment use. Benefits Available for Full-Time Employees Medical, Dental & Vision Paid Time Off 401K Plan with Company Match Life & AD & D Insurance Short & Long-Term Disability Equal Opportunity Employer - M/F/D/V // Uniforms and Meals Provided Please respond with resume or letter of intent. PM21 Compensation details: 17-18 Hourly Wage PIcd4af3577067-37395-41481819

  • South Ashburnham, MA

  • no content

Food Prep Private School

Food Prep Private School Pay Rate: $18 an hour Part Time Position Schedule: Monday through Friday 9:30am-1:30pm Build your culinary experience in a welcoming private-school environment where fresh, nutritious food makes a difference each day. This weekday position offers consistent daytime hours, benefits and a supportive team that values your contribution. You’ll prepare and serve a variety of hot and cold foods while gaining hands-on experience with professional kitchen equipment. If you’re dependable, energetic and ready to take pride in every plate, we’d love to hear from you. Brock & Company is the premier provider of contract food management to corporations and private and independent schools throughout the Mid-Atlantic and New England regions. Our aim is to deliver outstanding quality food services exceeding our clients’ expectations every day. With an extensive array of clients, Brock has a formula for success that is simple. We focus on top quality products combined with people who have a passion for food and service. Brock provides a family-owned, corporate supported, financially sound organization that is committed to our clients and associates and is always striving for excellence. As a member of the Brock team, you will experience a work schedule that allows for a quality of life. Our food programs are dynamic, the menus cutting edge and creative. We welcome your input to implement, solve problems, and help drive these programs to success. You can influence the outcome, and we will give you the tools to be successful. Our programs have made significant improvements in the daily work lives of our customers and clients by providing healthy, nutritious menus at all meals. The Food Prep position will prepare, cook and serve hot and cold foods determined by the supervisor. Essential Duties and Responsibilities Perform specific jobs appropriate to the unit’s circumstances determined by the supervisor. The assembly, operation, and disassembly of the following equipment: Meat and cheese slicer, food processor, R-2/Robocoupe, food choppers, and cutters, food blenders and mixers (floor and table models) The operation of the following equipment: saute burners, convection oven, kettle steamer, warming unit, pizza oven, microwave, grill/flat top and fryer. Various size pots/pans, platters, dishes and hand held utensils, knives, mops, brooms, dust pans, buckets, cleaning towels and agents. Comprehension and compliance of both verbal and written instructions from the supervisor. Must be able to stand for extended periods of time. Lifting and moving of food, food containers and other non-food items from floor position to no higher than one’s own height. Adhere to client and company protocols related to COVID-19 workplace safety and sanitation standards. Receive, unpack, rotate and stow deliveries per supervisor’s instruction. Follow all outlined health and safety regulations with regard to equipment use and personal hygiene. Equal Opportunity Employer - M/F/D/V Benefits Eligible // Uniforms and Meals Provided Please respond with resume or letter of intent. PM21 Compensation details: 18-18 Hourly Wage PIb5fdfe00fb29-37395-41651132

  • Perkiomenville, PA

  • no content

Occupational Therapist

Description: Optimal Home Care is looking for an Occupational Therapist (OT) to provide services for our patients! About us: Optimal Home Care is a trusted and growing agency serving the great Colorado area. Optimal is a Colorado owned and operated home health agency that has been serving patients since 2004. The culture at Optimal is what sets us apart. At Optimal Home Care you are not just a number. We are big enough to provide you with the support and resources you need to provide the highest possible patient care, but small enough to give you the culture and mission you’re looking for. Optimal Home Care is devoted to helping our patients achieve and maintain the best possible quality of life. Our mission is to improve and restore our clients’ lives through quality patient care, innovative specialty health care programs and state of the art technology. The Optimal team embodies compassion, heart, patience, empathy, and competence to meet our patient’s needs. Core values: Commitment Advocacy Respect Excellence Position & Responsibilities: The Occupational Therapist (OT) provides occupational therapy services in compliance with AOTA standards, policies, and guidelines, applicable federal and state laws and regulations, and payer requirements related to occupational therapy practice and service delivery. Practices and maintain patient safety and dignity by abiding by Federal, State, Local and Optimal policy & procedures as pertains to patient protected health information and HIPAA (Health Information Portability and Accountability Act). The OT abides by the Occupational Therapy Code of Ethics. (AOTA, 2005) The OT abides by the Standards for Continuing Competence (AOTA, 2005) by maintaining and updating professional performance, knowledge, and skills. The OT is responsible for all aspects of Occupational Therapy service delivery and is accountable for delivery of safe, effective OT services. The OT respects the client’s sociocultural background and provides patient-centered and family-centered services ethically, with a best practice approach. The OT accepts and responds to referrals, directs the evaluation process utilizing defined protocols and standardized assessments, and analyzes and interprets the data in compliance with state and federal laws and other regulatory and payor requirements. The OT collaborates with the client(s) to evaluate the patient’s ability to participate in daily life with consideration of the patient’s history, goals, capacities, and needs and based on the activities the patient wants and needs to perform in the contexts and environments where the activities occur. The OT abides by the time frames, protocols, and standards established per home health care guidelines, federal and state law, and other regulatory and payor requirements. The OT communicates evaluation results within the established boundaries of patient confidentiality and privacy regulations (Health Insurance Portability and Accountability Act – HIPAA), by sharing information only with appropriate people involved in the client’s case. The OT recommends additional consultations by seeking MD orders and refers clients to appropriate resources when the needs of the client(s) will be best served by the expertise of other professionals or services. The OT has overall responsibility for development, documentation, and implementation of Occupational Therapy interventions based on skilled evaluation, patient goals, and clinical reasoning. The OT ensures that the Plan of Care is documented, communicated, and approved by the patient’s MD within the time frames formats, and standards established by the home health agency, state and federal laws, and other regulatory and payor requirements. The OT Plan of Care is developed and implemented in collaboration with the client(s) and other professional services, based on the patient’s needs and priorities, safety issues, and relative benefits vs risks of the proposed interventions. The OT uses clinical reasoning to select interventions including therapeutic use of self, therapeutic use of activities, consultation, education, and advocacy. The OT modifies the Plan of Care as needed throughout the episode and documents, communicates, and obtains updated MD orders to accommodate changes in the client’s needs, goals, and performance. The OT documents the OT interventions with the time frames, formats and standards established by home health and agency guidelines, federal and state law, and other regulatory and payor requirements. The OT communicates information effectively to appropriate personnel to facilitate continuity of care. The OT assists in coordinating care of all agency disciplines including, but not be limited to: Nursing, Certified Home Health Aide, Physical Therapy, Occupational Therapy, Speech Therapy, Medical Social Worker, Behavioral Health, and other services delivered to clients of the agency. The OT is responsible for selecting, measuring, interpreting, and documenting expected or achieved outcomes related to a patient’s ability to engage in activities. The OT is responsible for documenting changes in the patient’s performance and capacities for transitioning to other tasks or intensity of service or discontinuing services when the patient has achieved functional goals, reached the maximum potential for rehab, or wishes to discharge OT services. The OT develops and implements a transitional or discharge plan based on the patient’s needs, goals, performance, and access to beneficial community resources as indicated. The OT facilitates the transition or discharge process in collaboration with patients, their significant others and family, physicians, and other members of the interdisciplinary team. The OT is responsible for evaluating and documenting the safety and efficacy of occupational therapy interventions and outcomes in the patient’s home setting. When assigned to supervise a COTA, the OT completes a Supervisory Visit at least once every 30 days in compliance with home health regulations. Regulations do not require the COTA to be present during Supervisory Visits. When assigned to supervise a CNA, the OT completes an alternating schedule of CNA onsite Supervisory Visits and CNA Supervisory Visits without the CNA present every two weeks in compliance with home health regulations and agency protocol. The OT initiates cardio-pulmonary resuscitation and institutes other emergency procedures when necessary. The OT participates in Monthly, Quarterly, Annual trainings as well as Zone or other meetings required by Optimal. The OT complies with agency policies, protocols, and standard procedures. The OT completes all required documentation within 24 hours of the patient visit. The OT completes all documentation sent back for correction within 24 hours of receipt. The OT may be assigned other duties and tasks by the Optimal Home Care Emergency Command Center communication tree in the event of a local, regional or national emergency and/or disaster. The OT responds, as required, to support emergency response plan activation. The OT completes emergency preparedness training as identified as appropriate for this employee level. The OT participates in exercises and drills for emergency preparedness, as required. The OT completes other duties and tasks as assigned. The OT complies with agency Policies and Procedures as well as Employee Handbook detailing Human Resources policies. The OT completes other duties/responsibilities that support the agency’s core values of Commitment, Advocacy, Respect, and Excellence. The OT completes emergency preparedness training as identified as appropriate for this employee level. The OT participates in exercises and drills for emergency preparedness, as required. The OT performs other duties and tasks assigned by the Optimal Home Care Emergency Command Center communication tree in the event of a local, regional or national emergency and/or disaster. Why Optimal Home Care: Family Oriented Company Dedicated intake and scheduling team that support you and your patients Supportive work environment with opportunity to learn and develop Mileage reimbursement Competitive benefits package 401K plan 15% matching Company phone provided PTO Opportunity to provide individualized care to patients Continuing education opportunities iPad Purchase Program Pay: Optimal Pays Per Visit Requirements: Graduate of an Occupational Therapy program accredited by the Accreditation Council for Occupational Therapy Education (ACOTE) or its predecessor organizations Must be currently licensed and in good standing in the state of Colorado. Must be able to communicate in the language of the client and document client related activity as appropriate. Possesses adequate and effective written and verbal communication skills. Possess adequate and effective interpersonal skills. PIc1a822dbccf2-37395-41111615

  • Glendale, CO

  • no content

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Staff Applied Researcher

Staff Applied Researcher At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. What You’ll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large language models 5 years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion tokens) Core contributor to open source libraries for data quality, dataset curation, or labeling Demonstrated history of initiating and leading multi-year research programs that shaped the direction of AI or ML subfields (e.g., representation learning, foundation models, multimodal reasoning) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher McLean, VA: $306,300 - $349,500 for Staff Applied Researcher New York, NY: $334,100 - $381,300 for Staff Applied Researcher San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Applied Researcher 4 (AI Foundations, Graph and Behavioral Models)

Applied Researcher 4 (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You’ll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks Experience designing controlled experiments and documenting reproducibility results for internal or public research Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Respite Provider

Description & Requirements If you would like more information about our company, you can visit our website here: Who We Are - CDWI This is a heartwarming opportunity for compassionate providers who love making a difference! We work with members throughout Wisconsin to find providers that fit each of their needs. Our goal is to help individuals be in more control of their own supports and to have a say in who is assisting them. This helps them to stay in their own homes as long as possible. We are looking for an experienced Respite Provider in special needs childcare to assist a young girl in the family home on weekends. The child has Angelman’s Syndrome and needs significant supervision and behavioral management. She does enjoy hanging out and having fun! So outgoing personalities are a plus! This client enjoys watching movies on her Roku, going to concerts, reading books, eating out, water related activities, and so much more! Compensation: $17.66 an hour Shifts: Weekends - Respite care provided in the child’s home, flexible scheduling. Responsibilities: • Engaging child and encouraging appropriate behaviors. • 1:1 safety supervision-line of sight at all times • Assist with regulation techniques during heightened behaviors • Ability to set firm boundaries that are beneficial to the child to assist with managing behaviors • Provide Safety and companionship • Assist with daily living tasks: changing, bathing, transferring to and from wheelchair, meal prep, feeding, and basic household chores • Provide emotional and behavioral support Qualifications: • Experience managing frequently erratic behaviors that can be aggressive. • Prior experience with special needs required • Experience with Autism spectrum, behavioral disorders, and Angelman’s syndrome required • Valid Driver's License and reliable transportation. • Must be at least 18 years of age at the start of employment. • Must be comfortable with pets in the home. -Family has multiple small dogs in the home. • Pass background check before hire. For questions or other inquiries, feel free to email us at [email protected] For more opportunities, visit our Facebook Page: CDWI Facebook You can also complete this form to be contacted regarding other opportunities in your area: https://forms.office.com/r/bNA70UHRTF *If hired, Consumer Direct Care Network (CDCN) will not be your legal employer on record. If hired by a Member or their Managing Party, your legal employer on record would be the Member. CDCN’s role is to assist the Member or Managing Party in recruiting a Direct Care Worker. The Member or Managing Party has the sole authority to hire or dismiss any potential Direct Care Worker. Base Min. $ 17.66 Base Max. $ 17.66 Salary: . Date posted: 08/31/2026

  • New Berlin, WI

  • no content

Design Engineer - Electrical, RISE

Work Flexibility: Onsite Who we want Challengers. People who seek out the hard projects and work to find just the right solutions.​ Teammates. Partners who listen to ideas, share thoughts, and work together to move the business forward.​ Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.​ Strategic thinkers. People who propose innovative ideas and consistently exceed their performance objectives.​ Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.​ Game changers. Persistent individuals who will stop at nothing to live out Stryker’s mission to make healthcare better. The Program and what you get Stryker, a global leader in medical technology takes great pride in their people, and that’s why we’re looking to expand our talent. As a result, we are looking for the best and brightest graduates to strengthen our team and drive our business going forward. The Rotational Intensive Specialized Experience (RISE) Program, which lasts 2 years and includes 4 six-month rotations, is designed specifically for highly talented engineers who are looking for exposure to and experience in different disciplines of engineering. Participants will be immersed into new product development (design engineering), quality, product testing, simulation, and so much more. Each individual’s rotations are tailored to fit their passion and skill sets along with current business needs. RISE engineers will not only gain a broad knowledge of our Research & Development functions but will also have the opportunity to attend additional leadership and personal development trainings, seminars, and product labs. The RISE Engineering program also offers exposure to senior leadership with end of rotation presentations, townhalls, and small group forums. Upon successful completion of the program, participants are eligible to apply to any open roles within Stryker. A development journey that’s tailored to you! The RISE Program is designed specifically for highly talented individuals who are looking for an accelerated career progression. Participants will benefit from: Networking with Senior Leadership Exposure to cutting edge technology Engineering mentorship Personal and professional development Gain broad perspective of R&D functions All resulting in inspiring & fulfilling careers, enduring friendships, and accelerated career progression! Rotation Information As a program participant, graduates will experience 4 six-month rotations and be placed on one of the following teams for each rotation: Advanced Quality Engineering (AQE) AQE plays a critical role in Stryker that partners with New Product Development (NPD) teams to ensure the overall quality of a manufactured product. New Product Development Operations (NPD OPS) NPD Ops serves R&D with multiple functions. Participants can be placed within the Custom Test Equipment team where they will experience product testing and test equipment development, Finite Element Analysis (FEA) where they will be trained and will conduct FEA on products in development, or Experimental where they will learn about prototypes, mills, lathes and 3D printing. Interventional Spine (IVS) Advancing interventional care from diagnosis to delivery, IVS provides surgeons with an extensive and innovative product portfolio for vertebral augmentation, vertebroplasty and radiofrequency ablation procedures, along with a diagnostic tool and decompression treatment advances for contained disc herniations. Participants will work within the design phase process researching, developing, and delivering new products to market as a design engineer. Neurosurgical (NS) NS offers products for the specific needs of Neurosurgical (cranial), Spine and ENT (ear, nose, throat) physicians with a comprehensive suite of products developed for the precision required by these specialties. The product innovation is focused on improving our customers’ existing surgical procedures, while exploring new techniques to further advance the clinical outcomes of their patients. Participants will work within the design phase process researching, developing, and delivering new products to market as a design engineer. Orthopaedic Instruments (OI) OI delivers innovative products and services for the Orthopaedic ecosystem. This team’s focus is on power tools used on upper and lower extremities, and participants will work within the design phase process researching, developing, and delivering new products to market as a design engineer. Product Engineering (PE) PE works closely with products in the field and will conduct redesign projects based on issues seen in the field. Participants may also work with manufacturing engineers on manufacturing line issues as a design engineer. Surgical Technologies (ST) ST delivers products that enable caregivers to provide a safer, simple experience for their patients. They utilize technology to enhance products and create safe solutions for everyone in the operating room. Participants will work within the design phase process researching, developing, and delivering new products to market as a design engineer. Responsibilities Provide engineering support for new product and process introductions, ensuring that all activities are completed and documented in accordance with the Stryker new product development procedures. Ensure quality of process and product as defined in the appropriate operation and material specifications. Determine and implement design approaches and parameters and conduct feasibility studies on new designs. Hold active role in New Product Development team discussions. Provide engineering input on key topics to reduce time to market. Analyze equipment to establish operating data, conduct experimental tests and evaluate the results. Select components and equipment based on analysis of specifications, reliability, and regulatory requirements. Aid in the development process by ensuring designs are cost efficient, manufacturable, and reliable. May assist in evaluating vendor capability to support development. Submit periodic reports on assigned topics to manager/supervisor/mentor. Present to team members and leadership on accomplishments during each six-month rotation May interact with customers to resolve product issues. All other duties as assigned. What you need B.S or M.S. in Electrical Engineering or related engineering discipline; we will only consider candidates with December 2025 or spring of 2026 graduation dates. 3.0 minimum cumulative GPA (or equivalent). Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future. Self-starter with demonstrated efficient work methods, analytical & problem-solving skills, and ability to handle multiple tasks in a fast-paced environment. The individual should enjoy working in a fast paced, dynamic and results orientated team environment. Strong communication skills with the ability to effectively work cross-functionally and externally as required. Basic knowledge of engineering fundamentals. Must be able to read and interpret complex engineering drawings and have the ability to understand geometrical dimensioning and tolerancing. Experience in an FDA regulated or regulated industry beneficial. High level of PC Skills required. Excellent attention to detail. The Company Stryker is one of the world’s leading medical technology companies and, together with our customers, is driven to make healthcare better. We offer innovative products and services in Orthopedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We grow talent. We give you the opportunity to develop your career based on your strengths and potential, including the possibility to move geographically, functionally, laterally, and vertically. Stryker is a career destination for engaged, passionate and talented people who are driven to seek the innovation, growth, and opportunity that only we offer. Join our global team of 40,000 people! Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

  • Portage, MI

  • no content

Restaurant General Manager

"You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp. or any of its affiliates. If hired, the franchisee will be your only employer. Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees." The Taco Bell Restaurant General Manager is the leader of the TEAM who establishes the tone of the work environment, and the level of customer hospitality. You are responsible for the operation of the entire restaurant and building a strong team that consistently provides customers great food and a friendly experience. Key responsibilities include finding, hiring and developing employees, conducting new hire orientation and developing the training plan for each new hire. You’re also responsible for scheduling and deploying the Team correctly, addressing performance issues, assisting in the resolution of customer issues and managing the restaurant budget and financial plans. A successful candidate will have strong leadership and communication skills, a track record of people development, and a positive attitude. If you want to build a great career, Taco Bell is the place to learn, grow and succeed! Job Requirements and Essential Functions: High School Diploma or GED, College or University Degree preferred 2-4 years supervisory experience in either a food service or retail environment, including Profit and Loss responsibility Basic personal computer literacy Strong preference for internal promote from Assistant General Manager position Must be at least 21 years old Must pass background check criteria and drug test Must have reliable transportation Basic business math and accounting skills, and strong analytical/decision-making skills Able to sweep and mop floors, dust shelves and lift and carry out trash containers and place in an outside bin Able to clean the parking lot and grounds surrounding the restaurant Able to tolerate standing, walking, lifting up to 50 lbs. and stooping during 80% of shift time

  • Texas

  • no content