Automobile

Applied Researcher II (AI Foundations)

Applied Researcher II (AI Foundations) Overview: 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. In this role, you will: 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, VectorDBs, 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. 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 new 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, 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 plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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 Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design 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 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: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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

Sr. Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3 years of experience developing performant, resilient, and maintainable code 3 years of experience with data gathering and preparation for ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3 years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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

Lead AI Engineer (FM Hosting, LLM Inference)

Lead AI Engineer (FM Hosting, LLM Inference) 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, 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 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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 Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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

CT Technologist

Job Description Job Description How would you like to work in a place where your contributions and ideas are valued? A place where you can serve with compassion, pursue excellence and honor every voice? At Wellstar, our mission is simple, yet powerful: to enhance the health and well-being of every person we serve. We are proud to have become a shining example of what's possible when the brightest professionals dedicate themselves to making a difference in the healthcare industry, and in people's lives. Work Shift Various (United States of America) How would you like to work in a place where your contributions and ideas are valued? A place where you can serve with compassion, pursue excellence and honor every voice? At Wellstar, our mission is simple, yet powerful: to enhance the health and well-being of every person we serve. We are proud to have become a shining example of what's possible when the brightest professionals dedicate themselves to making a difference in the healthcare industry, and in people's lives. Pay We offer competitive hourly pay with shift differential incentives. Schedule & Incentives This role is eligible for a sign-on bonus of up to $20,000. This role can offer a competitive relocation assistance package for eligible candidates A full - time position with a Friday, Saturday, Sunday 7:00am - 7:30pm Schedule Benefits program that includes PTO, mental health support, wellness rooms, concierge services and more Access to Wellstar's CareerCare program for fully funded education and guided career progression Job Summary The CT Technologist applies their expertise to deliver safe, high-quality imaging and a supportive patient experience at Wellstar North Fulton Hospital in Roswell, Georgia. Technologists at Wellstar are respected clinical professionals and essential members of a collaborative care team. If you're looking for a place where you're supported and where your well-being, career growth, and voice truly matter, you'll find it here. Required Qualifications Education High School Diploma or equivalent Completion of an accredited Radiologic Technology program Experience Minimum 1 year experience in Radiology Required Certifications ARRT-R (Radiography) ARRT-CT - ARRT Computed Tomography BLS (Basic Life Support) - American Heart Association Core Responsibilities Perform CT procedures according to department guidelines, use your technical knowledge to capture quality diagnostic images. Work independently operating imaging/radiographic equipment safely and adjusting techniques to maintain diagnostic quality at the lowest reasonable dose (ALARA). Clean, disinfect, and maintain rooms/equipment per infection control schedules; identify and report equipment issues promptly. Obtain clinical history and screen for contraindications; verify orders and two unique patient identifiers before any exam. Explain procedures, prep, and post-care clearly using AIDET; address questions and reduce patient anxiety. Ensure patient comfort, privacy, and safety; provide age-appropriate care throughout the visit. Perform exams and administer contrast per protocol, using venipuncture and sterile technique when applicable. Position patients correctly and apply markers, shielding, and immobilization as indicated. Review images for diagnostic acceptability; repeat/correct as needed and release patients appropriately. Complete accurate, timely documentation and ensure studies are correctly finalized in RIS/PACS (including transfers/retrieval, CDs, and prior exam retrieval as needed). Monitor patient condition, respond to emergencies, and help maintain/restock crash cart and life-support equipment as required. Organize daily workflows to meet expected timeframes; collaborate with technologists/modalities to support department flow. Support operations and compliance, keep areas orderly and stocked, transport patients safely, complete charging/clerical tasks, follow regulatory requirements, and escalate issues to the supervisor. Join us and discover the support to do more meaningful work-and enjoy a more rewarding life. Connect with the most integrated health system in Georgia and start a future that gives you more. Join us and discover the support to do more meaningful work-and enjoy a more rewarding life. Connect with the most integrated health system in Georgia, and start a future that gives you more.

  • Lithia Springs, GA

  • no content

Local CDL-A Truck Driver - Home Daily

Job Description C.R. England is Now Urgently Hiring Local CDL-A Drivers in Denver, CO! Average $1,625 Weekly - Top 10% Earn $1,650 per Week* Local Route \n Denver Local - Apply Today: \n \n Earn up to $1,650 per week* \n 3% bonus for safe & on-time deliveries \n Home daily – occasional overnight stays \n New 2025 trucks with auto-chains \n No-touch freight \n There is a possibility that drivers will do short mountain runs that will still get them home daily \n Run an average of 1,700 weekly miles \n Drivers will deliver to the same stores with predictable routes throughout the area \n 24/7 support staff \n \n Ready to Join an Exciting New Dedicated Account in the Denver Metro? - Apply Now & Get Home Daily! \n Why Drive for C.R. England? \n \n Full benefits package for you and your family \n 401(k) participation \n Paid time off \n Unlimited cash referral program \n Top-of-the-line automatic transmission trucks \n Reefer training provided \n \n Requirements: \n \n Valid CDL-A and 3 months of current experience required \n This lane is not suitable for students, recent grads, or trainees \n Must be 21 years or older \n Must be able to pass a DOT drug screen \n Professional driving attitude and commitment to safety \n Ready to join a growing operation with massive potential \n \n C.R. England is Urgently Hiring - Apply Now - Limited Positions Available! \n Pay Disclaimer:* The job information and data provided here are for informational purposes only, are based in whole or in part on estimates, and do not represent any type of promise or prediction of future performance or employment. PAST PERFORMANCE AND THE INFORMATION CONTAINED HERE ARE NO GUARANTEE OF FUTURE PAY RESULTS, REVENUE, MILES, OR HOME TIME. NO RIGHT TO EMPLOYMENT, CONTINUED EMPLOYMENT, SPECIFIC EMPLOYMENT, OR A MINIMUM AMOUNT OF MILES OR HOME TIME, OR SPECIFIC PAY AMOUNT IS GUARANTEED OR CREATED BY THIS DATA OR THE USE OF THIS SITE. ANY AMOUNTS IN ANY CATEGORIES ON THIS SITE WILL NOT REFLECT ACTUAL FUTURE RESULTS. Your actual pay, mileage, and home time will vary from these numbers depending on many factors, which may include tenure-based pay rates, your fleet, how hard you work, company performance, and how much you drive, among other factors. Because precise rate of pay can be difficult to guarantee in various pay structures common in the transportation industry, you are only guaranteed applicable minimum wage for hours worked in a given pay period. Click here for additional disclaimer information and additional detail about how this data is generated.

  • Keenesburg, CO

  • no content

Registered Nurse - Clinical Hiring Event

Job Description Registered Nurse (RN) \n Invitation Only Hiring Event – 9/14 \n Join recruiters and hiring managers from Beebe Healthcare at our upcoming hiring event to learn more about our open positions and our awesome benefits. \n \n Monday, September 14 \n Rehoboth Specialty Surgical Hospital (Abessinio Health Campus) \n \n We have excellent opportunities for registered nurses in: \n \n \n Intensive Care Unit (ICU) \n \n \n \n Operating Room \n \n \n \n CVOR \n \n \n \n RN First Assistant (RNFAs) \n \n \n \n Progressive Care Unit (PCU) \n \n \n \n Medical/Surgical Telemetry \n \n \n \n Emergency Department \n \n \n \n Med/Surg Oncology \n \n \n \n Med/Surg Observation \n \n \n Bring your resume and come ready to share what you're looking for in the year ahead. You can expect relaxed conversations, helpful insights, and a welcoming environment where your experience matters. \n \n Click Apply Now to Register \n \n EEO

  • West Fenwick, DE

  • no content

Local CDL-A Truck Driver

Job Description Job Description Roehl Transport is Now Urgently Hiring Home Daily CDL-A Truck Drivers! Now Hiring Home Daily CDL-A Truck Drivers! Average $70,000 Yearly and Be Home Every Day Take Home More. Be Home More® in a Home Daily Driving Job! Home daily Weekly average of $1,350 Earn $1,080 - $1,665 per week Dynamic Pay Plans that better reward drivers for their time & performance Earnings are based on an average of actual Roehl drivers with at least one year of experience Van, refrigerated, & dedicated fleet options Apply now to speak to a recruiter to see options in your area New, expertly maintained equipment Take Home More. Be Home More® with Roehl. Roehl is now Urgently Hiring - Apply Today! Take Home More. Be Home More® with Roehl! Get home every day with Roehl! Our home daily driving jobs feature excellent pay and full benefits, and many offer our Dynamic Mileage Pay that better rewards Roehl drivers for their time and performance! We have home daily truck driving jobs across many areas! Depending on where you live, you’ll have van, refrigerated, and dedicated fleets options, all with high earnings and excellent benefits. Simply fill out our form to Take Home More and Be Home More in a home daily driving job today! Additional Benefits: Address-to-Address mileage pay – You are paid for more of the miles you actually drive! Comprehensive benefits package Health, dental, vision, & life insurance Paid vacation Referral bonuses 401(k) plan & profit sharing Passenger/rider policy Our smartphone app helps you do your job more efficiently 24/7 maintenance support Career path opportunities Requirements: Valid CDL-A Now hiring new and experienced drivers Take Home More. Be Home More® Apply Today! Benefits: Health Insurance, Dental Insurance, Long-Term Disability (LTD), Life Insurance: Basic & Supplemental, Short-Term Income Protection, Flexible Spending Accounts (FSAs), 401(k) & Profit-sharing Contributions, Vacation, Holidays, Voluntary Benefits.

  • Castleton, IN

  • no content

CDL-A Truck Driver

Job Description Werner is Now Urgently Hiring Dedicated CDL-A Dry Van Drivers Average $80,800 per Year* - Touch Freight Up to $5,000 Sign-On Weekly Pay* \n Top Benefits: \n \n Average $80,800 per year* \n Top performers earn $109,000 per year* \n Pay range of $64,000 - $93,400 per year \n Up to $5,000 sign-on weekly pay* \n Up to $1,600 guaranteed weekly pay* \n Home time: weekly or bi-weekly* \n Dedicated account \n Solo dry van position \n Consistent freight lanes and mileage \n \n Experienced Flex Fleet Opportunity*: \n \n Average $125,000 annually \n Top performers earn up to $125,000 annually \n Pay range of $120,000 - $125,000 per year \n Guaranteed weekly pay of $1,900 \n Dedicated account with Touch Freight required \n Home time: Every 3 weeks – OTR route \n Experience: Must have 3 months experience \n Primarily running & hiring in: AR, CT, GA, IN, KY, LA, ME, MA, MI, MO, NH, NJ, NY, OH, OK, PA, RI, TN, TX, VT, & WV – No running in NYC or 5 boroughs \n \n (*Speak with a recruiter for more details, based on location) \n Dedicated Customers: \n Werner Enterprises is the fifth-largest dedicated trucking provider in North America. Our dedicated accounts haul freight for a specific or dedicated customer. \n \n Freight: \n Dry van - Hauling traditional freight in dry van trailers with liftgates \n Predictability: Home weekly or bi-weekly \n Modern fleet: With the most advanced trucks and trailers in the industry \n \n The Werner Advantage: \n Werner Enterprises was founded by a driver, for drivers. That is why we're committed to treating every driver with care, dignity, and respect. Truck drivers are the backbone of Werner and our nation. \n \n 401(k) retirement plan with company match \n Rider and pet-friendly \n Health, dental, and vision insurance \n Company-paid sick leave \n Life insurance and disability \n Elite veteran driver program, military skills waiver accepted \n Employee stock purchase plan \n \n Additional Benefits: \n \n Advanced technology and late-model equipment \n Leading-edge telematics device \n Collision mitigation technology \n Truck navigation system \n 100% trailer tracking \n Average truck age is 2.5 years \n 24-hour maintenance assistance \n Driver Portal and app \n \n Minimum Requirements: \n \n Must be 21 years old \n Valid Class A CDL \n Acceptable driving record \n Able to perform the essential functions of the job (with or without reasonable accommodations) \n Meet all DOT qualifications \n Pass a DOT physical, including DOT drug screen and company hair follicle testing \n Acceptable references from past employers \n \n Start your Career at Werner! Apply Today to Speak with a Recruiter!

  • Chesapeake, VA

  • no content

Delivery Driver

Job Description ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE \n \n \n Join Our Community of Food People! \n \n \n \n \n \n Currently offering a $15,000 retention bonus paid out over two years.\n \n \n \n \n \n \n \n \n \n \n BECOME A US FOODS® DRIVER! \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n The pay for our CDL A Delivery Truck Drivers is $35.12 per hour. We are looking for CDL A Delivery Truck Drivers who relish the chance to push their potential, grow and reap the rewards of joining the US FOODS® family. \n We help YOU make it! US FOODS® is one of the largest food distributors with a culture and history of promotion from within and unlimited career growth opportunities w/ ongoing job skills and leadership development training. \n \n US FOODS® has a lot to offer: \n \n \n Home Every Night with local routes \n \n Work Schedule Monday- Sat. starting between 12am and 6am until finished \n \n US FOODS® is the company built on YOU Matter, where your hard work is rewarded \n \n \n \n We are committed to compensation, benefits that respect, and reward our employees for their dedication and hard work \n \n Paid Training AND Paid Overtime \n \n Service recognition and employee rewards \n \n Excellent Leadership \n \n \n EXCELLENT BENEFITS: Medical, dental, vision, Pension Plan, and Employee Stock Purchase Plan (ESPP) life insurance and paid parental leave. \n \n Main Ingredients of the Job \n As a US FOODS® Delivery Driver, you will be critical to the US FOODS® team and one of the important faces of our organization. As a Delivery Driver, you will have an impact on our customers by delivering our meats, produce, frozen goods, groceries, dry goods, equipment, and supplies to their drop-off sites. Your efforts are the foundation that defines US FOODS® success based on our pillars of cultural beliefs, work ethic, collaborative spirit, and service. \n \n \n Deliver best-in-class Customer Service. \n \n \n \n Deliver customers’ orders to meet scheduled delivery times and keep productivity. \n \n Unload products with a hand truck and place items in the customer storage area. \n \n Able to perform repeated, manual heavy lifting of items up to 80 pounds. \n \n Make frequent stops during a work shift. \n \n Deliver product in inclement weather conditions. \n \n Verify delivery of items with customers. \n \n \n What you bring to the table \n \n \n Must be at least 21 years of age. \n \n Must have valid CDL Class A issued by the state of legal residence with necessary endorsements and DOT qualifications. \n \n High school diploma or general education degree (GED) preferred. \n \n Valid U.S. driver’s license issued by the state of legal residence with proper endorsements if required \n \n No more than two convictions in the past two-year period for traffic violations, no DUI convictions in the past three years, no driver’s license suspensions in the past three years. \n \n Minimum of six months of commercial driving experience (any industry) OR three months of driving experience in the food and beverage delivery industry required. \n \n Must be able to pass DOT physical. \n \n \n Great delivery truck drivers are crucial to the US Foods® team and one of the important faces of our organization. Our truck drivers strive for integrity and reliability while building trusting relationships with customers. JOIN OUR TRANSPORTATION TEAM! \n \n Please check out our job preview video: "A Day in the Life" Delivery Truck Driver https://vimeo.com/usfoods/review/583126249/f25d9562f9 \n \n Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law. The expected base rate for this role is $35.12 . As applicable, this role will also receive overtime compensation. \n \n Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. \n \n \n \n \n \n \n \n \n \n \n EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/ Age/Genetic Information /Protected Veteran/Disability Status

  • Alberton, MT

  • no content

CDL-A Truck Driver - Local

Job Description The Energy Division of Kenan Advantage Group (KAG) is hiring CDL ‑ A Tanker Drivers to haul essential fuel products that keeps North America running. This is steady, high ‑ demand freight with a company known nationwide for safety, stability, and taking care of its drivers. \n If you’re done chasing miles and ready for consistent work and strong earnings , this is the driving job you’ve been looking for. \n \n Text APPLY to (805)-301-1212 to get your quick app started! \n \n What You’ll Earn \n \n Annual earnings: $105,000 \n \n \n Average weekly gross pay : $2,000 - $2,200 \n \n \n Weekly pay you can count on \n \n \n Paid orientation and training \n \n \n Home Time That Works for Real Life \n \n Local, home daily routes \n \n \n Predictable schedules \n \n \n Strong terminal dispatch support \n \n \n Minimum Requirements \n \n CDL A license \n \n \n Tank (N) and Hazmat (H) endorsements \n \n \n Minimum 1 year of recent, verifiable CDL A experience \n \n \n TWIC card or Passport a plus, but not required \n \n \n Why Drive Energy with KAG \n \n Essential freight (fuel) = stability consistent demand \n \n \n Safety-first culture with training, technology, and support \n \n \n Modern, well-maintained equipment from one of the largest fleets in the industry \n \n \n A company built on a mission of “One team driven to make a difference.” \n \n \n Nationwide strength — 250 terminal locations across North America \n \n \n Be home more. Earn more. Haul what matters. \n *This job opportunity applies exclusively to company drivers. Please note, the hiring salary range for this position will vary based on a number of factors: geographic location, skills, experience of the applicant, and business needs. By applying, candidates acknowledge these terms.

  • Elida, OH

  • no content

Local CDL-A Truck Driver - Home Daily

Job Description C.R. England is Now Urgently Hiring Local Dedicated CDL-A Truck Drivers! \n Dedicated Local Fleet - Home Daily - Competitive Pay* - Full Benefits Package \n \n Our Fleet Offers: \n \n Daily home time \n Competitive pay* \n Reliable miles \n Full benefits package for you and your family \n 401(k) participation \n Paid time off & bonus incentives \n Unlimited cash referral program \n Top-of-the-line equipment \n \n \n Requirements: \n \n Valid CDL-A and 3 months of current experience required \n This lane is not suitable for students, recent grads, or trainees \n Must be 21 years or older \n Must be able to pass a DOT drug screen \n \n Your Journey to Success Starts Here, C.R. England is Urgently Hiring - Apply Today! \n \n Why Choose C.R. England? \n With over 100 years of excellence, we know exactly what it takes to build a fulfilling and prosperous driving career. We're currently searching for experienced Class-A drivers who are dependable and eager to join our Dedicated Division. As a dedicated local driver, you'll enjoy reliable miles and regular routes, and the chance to work alongside other talented drivers who share your passion for excellence! \n If you have what it takes to service one of our dedicated customers with the highest degree of customer service and integrity, we want to speak with you. \n \n Better Pay, Home Time, and Miles - Apply Now! \n Pay Disclaimer: The job information and data provided here are for informational purposes only, are based in whole or in part on estimates, and do not represent any type of promise or prediction of future performance or employment. PAST PERFORMANCE AND THE INFORMATION CONTAINED HERE ARE NO GUARANTEE OF FUTURE PAY RESULTS, REVENUE, MILES, OR HOME TIME. NO RIGHT TO EMPLOYMENT, CONTINUED EMPLOYMENT, SPECIFIC EMPLOYMENT, OR A MINIMUM AMOUNT OF MILES OR HOME TIME, OR SPECIFIC PAY AMOUNT IS GUARANTEED OR CREATED BY THIS DATA OR THE USE OF THIS SITE. ANY AMOUNTS IN ANY CATEGORIES ON THIS SITE WILL NOT REFLECT ACTUAL FUTURE RESULTS. Your actual pay, mileage, and home time will vary from these numbers depending on many factors, which may include tenure-based pay rates, your fleet, how hard you work, company performance, and how much you drive, among other factors. Because precise rate of pay can be difficult to guarantee in various pay structures common in the transportation industry, you are only guaranteed applicable minimum wage for hours worked in a given pay period. Click here for additional disclaimer information and additional detail about how this data is generated.

  • Vista, CA

  • no content

Local CDL-A Truck Driver - Home Daily

Job Description C.R. England is Now Urgently Hiring Local Dedicated CDL-A Truck Drivers! \n Dedicated Local Fleet - Home Daily - Competitive Pay* - Full Benefits Package \n \n Our Fleet Offers: \n \n Daily home time \n Competitive pay* \n Reliable miles \n Full benefits package for you and your family \n 401(k) participation \n Paid time off & bonus incentives \n Unlimited cash referral program \n Top-of-the-line equipment \n \n \n Requirements: \n \n Valid CDL-A and 3 months of current experience required \n This lane is not suitable for students, recent grads, or trainees \n Must be 21 years or older \n Must be able to pass a DOT drug screen \n \n Your Journey to Success Starts Here, C.R. England is Urgently Hiring - Apply Today! \n \n Why Choose C.R. England? \n With over 100 years of excellence, we know exactly what it takes to build a fulfilling and prosperous driving career. We're currently searching for experienced Class-A drivers who are dependable and eager to join our Dedicated Division. As a dedicated local driver, you'll enjoy reliable miles and regular routes, and the chance to work alongside other talented drivers who share your passion for excellence! \n If you have what it takes to service one of our dedicated customers with the highest degree of customer service and integrity, we want to speak with you. \n \n Better Pay, Home Time, and Miles - Apply Now! \n Pay Disclaimer: The job information and data provided here are for informational purposes only, are based in whole or in part on estimates, and do not represent any type of promise or prediction of future performance or employment. PAST PERFORMANCE AND THE INFORMATION CONTAINED HERE ARE NO GUARANTEE OF FUTURE PAY RESULTS, REVENUE, MILES, OR HOME TIME. NO RIGHT TO EMPLOYMENT, CONTINUED EMPLOYMENT, SPECIFIC EMPLOYMENT, OR A MINIMUM AMOUNT OF MILES OR HOME TIME, OR SPECIFIC PAY AMOUNT IS GUARANTEED OR CREATED BY THIS DATA OR THE USE OF THIS SITE. ANY AMOUNTS IN ANY CATEGORIES ON THIS SITE WILL NOT REFLECT ACTUAL FUTURE RESULTS. Your actual pay, mileage, and home time will vary from these numbers depending on many factors, which may include tenure-based pay rates, your fleet, how hard you work, company performance, and how much you drive, among other factors. Because precise rate of pay can be difficult to guarantee in various pay structures common in the transportation industry, you are only guaranteed applicable minimum wage for hours worked in a given pay period. Click here for additional disclaimer information and additional detail about how this data is generated.

  • Lafayette, CO

  • no content