Physical Therapist- 15K Sign On Bonus

Overview: Coastal Living Meets Career Growth - Earn $80K-$105K $15,000 Sign-On Bonus - With Training, Career Development & a Strong Clinical Team At Pappas OPT in Tiverton, Rhode Island, a member of the Confluent Health Family, physical therapists practice in an environment built for high quality care, professional growth, and sustainable careers. We support clinicians with innovative tools, strong mentorship, and clear development pathways. Tiverton , RI offers peaceful coastal living along Narragansett Bay, known for its charming waterfront views, marinas, and historic New England character. With farm-to-table dining, scenic backroads, and close proximity to Newport and Providence, Tiverton provides a relaxed lifestyle while remaining connected to larger metro amenities. In this role, you'll evaluate and treat patients in an outpatient setting, develop and implement individualized plans of care, and track clinical outcomes to support patient progress. You'll collaborate closely with a multidisciplinary team to deliver evidence-based, patient-centered care while maintaining strong clinical and documentation standards. How Pappas OPT , a member of the Confluent Health Family Supports You: Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Student loan repayment program - We pay your lender monthly! IRS approved. Value increases after two years of employment! AI clinical documentation support, built to significantly reduce after hours charting so work stays at work. Industry-leading continuing education through Evidence in Motion (EIM) including residency, fellowship, and board certification support. Structured mentorship and career development. A care model designed to support quality outcomes and efficiency. Responsibilities: You'll Achieve Success By: Reviewing patients' medical history Diagnosing patients by observing their movements and listening to their concerns Developing individualized treatment plans for patients with clear goals and expected outcomes Using exercises, stretching, equipment, and hands-on manual therapy to manage patients' pain, increase mobility, and prevent further pain and injury Recording patient progress and modifying the plan of care as needed Qualifications: Physical Therapist Licensure in good standing in the state of Rhode Island Who We Are: Pappas OPT is a Member of the Confluent Health Family. Confluent Health is a family of physical therapy and occupational therapy companies transforming healthcare by strengthening private practices, developing highly effective clinicians, and lowering healthcare costs through workplace wellness and injury prevention. This is an organization that is unlike any other, with unmatched possibilities to practice, learn, and master the profession, do meaningful work that impacts lives, and create your path for future success. About: Compensation: $80,000-$100,000 inclusive of productivity incentives, with additional compensation opportunities for certifications and location differentials. Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Confluent Health, LLC and its affiliates are equal opportunity employers committed to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, marital status, age, disability, veteran status, or other applicable legally protected characteristics. If you need assistance or would like to request an accommodation due to a disability, please contact us at .

Physical Therapist- 15K Sign On Bonus

Overview: Coastal Living Meets Career Growth - Earn $80K-$105K $15,000 Sign-On Bonus - With Training, Career Development & a Strong Clinical Team At Pappas OPT in Tiverton, Rhode Island, a member of the Confluent Health Family, physical therapists practice in an environment built for high quality care, professional growth, and sustainable careers. We support clinicians with innovative tools, strong mentorship, and clear development pathways. Tiverton , RI offers peaceful coastal living along Narragansett Bay, known for its charming waterfront views, marinas, and historic New England character. With farm-to-table dining, scenic backroads, and close proximity to Newport and Providence, Tiverton provides a relaxed lifestyle while remaining connected to larger metro amenities. In this role, you'll evaluate and treat patients in an outpatient setting, develop and implement individualized plans of care, and track clinical outcomes to support patient progress. You'll collaborate closely with a multidisciplinary team to deliver evidence-based, patient-centered care while maintaining strong clinical and documentation standards. How Pappas OPT , a member of the Confluent Health Family Supports You: Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Student loan repayment program - We pay your lender monthly! IRS approved. Value increases after two years of employment! AI clinical documentation support, built to significantly reduce after hours charting so work stays at work. Industry-leading continuing education through Evidence in Motion (EIM) including residency, fellowship, and board certification support. Structured mentorship and career development. A care model designed to support quality outcomes and efficiency. Responsibilities: You'll Achieve Success By: Reviewing patients' medical history Diagnosing patients by observing their movements and listening to their concerns Developing individualized treatment plans for patients with clear goals and expected outcomes Using exercises, stretching, equipment, and hands-on manual therapy to manage patients' pain, increase mobility, and prevent further pain and injury Recording patient progress and modifying the plan of care as needed Qualifications: Physical Therapist Licensure in good standing in the state of Rhode Island Who We Are: Pappas OPT is a Member of the Confluent Health Family. Confluent Health is a family of physical therapy and occupational therapy companies transforming healthcare by strengthening private practices, developing highly effective clinicians, and lowering healthcare costs through workplace wellness and injury prevention. This is an organization that is unlike any other, with unmatched possibilities to practice, learn, and master the profession, do meaningful work that impacts lives, and create your path for future success. About: Compensation: $80,000-$100,000 inclusive of productivity incentives, with additional compensation opportunities for certifications and location differentials. Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Confluent Health, LLC and its affiliates are equal opportunity employers committed to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, marital status, age, disability, veteran status, or other applicable legally protected characteristics. If you need assistance or would like to request an accommodation due to a disability, please contact us at .

Physical Therapist- 15K Sign On Bonus

Overview: Coastal Living Meets Career Growth - Earn $80K-$105K $15,000 Sign-On Bonus - With Training, Career Development & a Strong Clinical Team At Pappas OPT in Tiverton, Rhode Island, a member of the Confluent Health Family, physical therapists practice in an environment built for high quality care, professional growth, and sustainable careers. We support clinicians with innovative tools, strong mentorship, and clear development pathways. Tiverton , RI offers peaceful coastal living along Narragansett Bay, known for its charming waterfront views, marinas, and historic New England character. With farm-to-table dining, scenic backroads, and close proximity to Newport and Providence, Tiverton provides a relaxed lifestyle while remaining connected to larger metro amenities. In this role, you'll evaluate and treat patients in an outpatient setting, develop and implement individualized plans of care, and track clinical outcomes to support patient progress. You'll collaborate closely with a multidisciplinary team to deliver evidence-based, patient-centered care while maintaining strong clinical and documentation standards. How Pappas OPT , a member of the Confluent Health Family Supports You: Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Student loan repayment program - We pay your lender monthly! IRS approved. Value increases after two years of employment! AI clinical documentation support, built to significantly reduce after hours charting so work stays at work. Industry-leading continuing education through Evidence in Motion (EIM) including residency, fellowship, and board certification support. Structured mentorship and career development. A care model designed to support quality outcomes and efficiency. Responsibilities: You'll Achieve Success By: Reviewing patients' medical history Diagnosing patients by observing their movements and listening to their concerns Developing individualized treatment plans for patients with clear goals and expected outcomes Using exercises, stretching, equipment, and hands-on manual therapy to manage patients' pain, increase mobility, and prevent further pain and injury Recording patient progress and modifying the plan of care as needed Qualifications: Physical Therapist Licensure in good standing in the state of Rhode Island Who We Are: Pappas OPT is a Member of the Confluent Health Family. Confluent Health is a family of physical therapy and occupational therapy companies transforming healthcare by strengthening private practices, developing highly effective clinicians, and lowering healthcare costs through workplace wellness and injury prevention. This is an organization that is unlike any other, with unmatched possibilities to practice, learn, and master the profession, do meaningful work that impacts lives, and create your path for future success. About: Compensation: $80,000-$100,000 inclusive of productivity incentives, with additional compensation opportunities for certifications and location differentials. Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Confluent Health, LLC and its affiliates are equal opportunity employers committed to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, marital status, age, disability, veteran status, or other applicable legally protected characteristics. If you need assistance or would like to request an accommodation due to a disability, please contact us at .

Physical Therapist- 15K Sign On Bonus

Overview: Coastal Living Meets Career Growth - Earn $80K-$105K $15,000 Sign-On Bonus - With Training, Career Development & a Strong Clinical Team At Pappas OPT in Tiverton, Rhode Island, a member of the Confluent Health Family, physical therapists practice in an environment built for high quality care, professional growth, and sustainable careers. We support clinicians with innovative tools, strong mentorship, and clear development pathways. Tiverton , RI offers peaceful coastal living along Narragansett Bay, known for its charming waterfront views, marinas, and historic New England character. With farm-to-table dining, scenic backroads, and close proximity to Newport and Providence, Tiverton provides a relaxed lifestyle while remaining connected to larger metro amenities. In this role, you'll evaluate and treat patients in an outpatient setting, develop and implement individualized plans of care, and track clinical outcomes to support patient progress. You'll collaborate closely with a multidisciplinary team to deliver evidence-based, patient-centered care while maintaining strong clinical and documentation standards. How Pappas OPT , a member of the Confluent Health Family Supports You: Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Student loan repayment program - We pay your lender monthly! IRS approved. Value increases after two years of employment! AI clinical documentation support, built to significantly reduce after hours charting so work stays at work. Industry-leading continuing education through Evidence in Motion (EIM) including residency, fellowship, and board certification support. Structured mentorship and career development. A care model designed to support quality outcomes and efficiency. Responsibilities: You'll Achieve Success By: Reviewing patients' medical history Diagnosing patients by observing their movements and listening to their concerns Developing individualized treatment plans for patients with clear goals and expected outcomes Using exercises, stretching, equipment, and hands-on manual therapy to manage patients' pain, increase mobility, and prevent further pain and injury Recording patient progress and modifying the plan of care as needed Qualifications: Physical Therapist Licensure in good standing in the state of Rhode Island Who We Are: Pappas OPT is a Member of the Confluent Health Family. Confluent Health is a family of physical therapy and occupational therapy companies transforming healthcare by strengthening private practices, developing highly effective clinicians, and lowering healthcare costs through workplace wellness and injury prevention. This is an organization that is unlike any other, with unmatched possibilities to practice, learn, and master the profession, do meaningful work that impacts lives, and create your path for future success. About: Compensation: $80,000-$100,000 inclusive of productivity incentives, with additional compensation opportunities for certifications and location differentials. Benefits include generous paid time off, medical, dental, vision, disability, and 401(K) with a 4% employer match. Confluent Health, LLC and its affiliates are equal opportunity employers committed to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, marital status, age, disability, veteran status, or other applicable legally protected characteristics. If you need assistance or would like to request an accommodation due to a disability, please contact us at .

Sr. MEP Superintendent - Syracuse area

Sr. MEP Superintendent - Syracuse area US-NY-Syracuse Job ID: 2026-3312 Type: Regular Full-Time of Openings: 1 Category: Construction Management The LiRo Group Overview Sr. MEP Superintendent Location: Syracuse, NY About LiRo-Hill LiRo-Hill is a construction management and engineering firm supporting public and private sector projects across the Northeast. The firm is ranked among ENR’s top A/E firms and is part of Global Infrastructure Solutions Inc. (GISI). Position Overview Seeking an experienced construction MEP Superintendent to oversee elevator replacements in an active hosptial. This role is a construction managment role overseeing onsite construction, monitoring contractors and subcontractors coordination, and compliance across multiple contracts. Our client for this role is OGS. Responsibilities Provide construction inspection for multi-trade (including MEP) contracts to ensure compliance with contract requirements Monitor work and materials to maintain quality control across all phases of construction Coordinate third-party code inspections (including MEP systems) and maintain required documentation Communicate with the project team and support subcontractors to ensure efficient execution of work Perform inspections or coordinate inspectors to meet safety and regulatory requirements Maintain daily reports documenting site activity, visitors, work performed, materials used, and issues encountered Identify and resolve field issues; coordinate and participate in project meetings as needed Oversee site safety and security Review contractor as-built drawings, including MEP systems, for accuracy and completeness Qualifications 6 years large-scale construction experience (multi-phase projects) Experienced at planning, manpower tracking, and drawing coordination across all trades including Mechanical Systems Strong communication and leadership skills Bluebeam/Submittal Exchange preferred Willing to work off-hours when needed (active hospital elevator replacement project) Institutional experience a plus. Liro-Hill Culture : We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. We offer a comprehensive benefits package that includes benefits, paid time off, an ESOP and a positive work environment. Compensation range Min: $120,000 to Max: $133,000 The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidate's qualifications and location The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role . LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. ID22 ZR22 LI-CM1 PI0cc4c6f85d32-35196-40201911

Social Worker (LCSW) - Co Responder Social Service Unit

Overview This job exists due to a grant received by the City of Peoria to implement a co-responder model for mental health professionals to respond to calls with the Peoria Police for individuals that need the assistance of mental health professionals. This service will allow us to connect individuals and families to mental health services beyond their initial crisis that may have resulted in call to the Peoria Police Department Qualifications License/Certifications: Proof of Auto Insurance Driver's License - Secretary of State (SOS) Licensed Clinical Social Worker (LCSW) - Illinois Department of Financial and Professional Regulation (IDFPR) Education: Master's Degree: Social Work (Required) Experience Requirements 1 year of related experience preferred Other Requirements Ability to work with all different age groups. Basic computer skills/ability to keyboard - completing documentation in the electronic and/or paper medical record. Ability to drive in a variety of weather conditions. Ability to perform de-escalation techniques Use of usual and customary equipment used to perform essential functions of the position. Work requires travel Responsibilities Actively listens to presenting issues, uses motivational interviewing skills and crisis intervention to ensure safety and determine appropriate cause of action Exercise judgment and decision making that is clinically safe, logical, and deliberate Reach a resolution of crisis that is clinically appropriate and least restrictive Recognize, respect, and effectively deal with values and cultural beliefs of clients, their families, and community resources and referrals Works with law enforcement, emergency departments, and other emergency personnel in crisis situations Provides follow up case management as assigned Provides clinical oversight to staff members Maintains appropriate boundaries with clients and family members Maintains required productivity Completes all documentation and other forms of communication in a timely manner Demonstrates understanding of Medicare Home Care benefit including eligibility, qualification for admission and services available. Monitors progress toward treatment goals by evaluating and adjusting treatment provided. Prepares and maintains all pertinent records, statistics, and progress notes. Maintains accurate and timely documentation in the patient medical record. Responsible for providing culturally sensitive counseling and treatment as well as assisting in life crisis situations. About Us Find it here. Discover the job, the career, the purpose you were meant for. At Carle Health, we're committed to fostering a workplace where every team member feels valued, respected and empowered, where passion and purpose come together to positively impact the lives of our patients and our communities. Find it all at Carle Health. Our nearly 17,000 team members and providers work together to support patient care across central and southeastern Illinois. We've grown to include eight, award-winning hospitals and a multispecialty provider group with more than 1,500 doctors and advanced practice providers. We're developing the next generation of providers and healthcare professionals through Carle Illinois College of Medicine, the world's first engineering-based medical school, and Methodist College. Carle BroMenn Medical Center, Carle Foundation Hospital, Carle Health Methodist Hospital, Carle Health Proctor Hospital, Carle Health Pekin Hospital, and Carle Hoopeston Regional Health Center hold Magnet designations, the nation's highest honor for nursing care. We offer opportunities in several communities throughout central Illinois with potential for growth and life-long careers at Carle Health. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Carle Health participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. For more information: . Compensation and Benefits The compensation range for this position is $29.29per hour - $50.38per hour. This represents a good faith minimum and maximum range for the role at the time of posting by Carle Health. The actual compensation offered a candidate will be dependent on a variety of factors including, but not limited to, the candidate's experience, qualifications, location, training, licenses, shifts worked and compensation model. Carle Health offers a comprehensive benefits package for team members and providers. To learn more visit careers.carlehealth.org/benefits.

Clinic Registered Nurse - Liver Transplant Clinic

Hours of Work : 8:00 to 4:30 Days Of Week : M-F Work Shift : 8X5 Day (United States of America) Job Description : Your Job: The Registered Nurse will be responsible for providing primary care to patients, including assessment, treatment, care planning and medical care evaluation. Your Job Requirements: • Graduate of Nursing training from an accredited school of nursing. BSN preferred • Current Texas Nursing License issued through the Texas Board of Nursing • Strong communication skills with consistent incorporation of judgement and discretion • Minimum of 2 years in a back office within a medical setting or two years nursing experience. Your Job Responsibilities • Provides patient care based on practice guidelines, standards of care, and federal/state laws and regulations. • Obtains and documents health history, information on chief complaint, vital signs and health risk factors and assesses disease condition. • Executes prescribed treatments and medical interventions, administers prescribed medications, and monitors and documents treatment progress and patient response • Delegates as allowed under the Nurse Practice Act. • Educates patients and families about health status, health maintenance, and management of acute and chronic conditions. • Documents patient assessment and intervention data using established medical record forms/automated systems and documentation practices • Participates in the multidisciplinary team to improve patient care processes and outcomes • Tracks quality assurance data and monitors for acute and chronic care management • Assist the Office Manager in developing and implementing clinical policies and procedures. • Advise Office Manager of problems and concerns in the facility and participate in problem solving. • Follows established policies and procedures • Perform other job duties as assigned Methodist Medical Group is the North Texas physician organization affiliated with Methodist Health System. Our fast-growing network of providers includes more than 92 MMG ambulatory clinics, an urgent care clinic, and a virtual care service known as MethodistNOW. Our employees enjoy not only competitive salaries but also the outstanding benefits package of Methodist Health System, which includes medical, dental, and vision insurance; a matched retirement plan; an employee wellness program; and more. The opportunities for career growth are equally generous. Our affiliation means being part of an award-winning workplace: Newsweek's America's Most Admired Workplaces 2026 Glassdoor's Best-Led Companies 2025 Fortune's Best Workplaces in Health Care 2025 Great Place to Work Certified Glassdoor's Best Places to Work 2025 TIME's Best Companies for Future Leaders 2025 Military Friendly - Gold Employer 2025 Newsweek's America's Greatest Workplaces for Mental Well-Being 2025 Becker's Healthcare Top Places to Work in Healthcare 2025 Newsweek's Greatest Workplaces 2025

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).

Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) 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. 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 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 6 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 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience building production-ready data pipelines that feed ML models 3 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2 years of experience developing performant, resilient, and maintainable code 2 years of experience with data gathering and preparation for ML models 2 years of people leader experience 1 years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for 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).

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).

Operations Research Analyst Intern

Are you looking for an opportunity to apply your STEM skills to solve problems and evaluate the latest technologies in defense of our country? Are you interested in advancing those skills and learning new ones? Do you want to be part of dynamic, multi-discipline teams of technical experts discovering the best ways to use diverse new aerospace technologies such as hypersonic concepts, autonomy, machine learning, and advanced propulsion and aircraft design? If you answer yes to any of these questions, DCS Corporation has a need for enthusiastic operations research analyst interns to join our team in Dayton, Ohio (the hub of US Air Force R&D and acquisition). You’ll join a team at the forefront of developing and implementing Modeling, Simulation, and Analysis capabilities for our US Air Force and Department of Defense customers. Our teams are conducting analysis that influence the course of future DoD technology development and implementation. Essential Job Functions: Develop and implement constructive, virtual (operator-in-the-loop), and M&S-powered simulations across all levels of analysis. Collaborate with operational and technology experts to ensure realistic and relevant simulation of new technologies in warfighting environments. Work closely with mentors to develop and execute experiments, analyze results, and present findings. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. At least partial completion of a Bachelor degree in a STEM discipline (Math, Physics, Computer Science, Engineering, etc.). Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information: eligible to attain a Secret level U.S. DoD security clearance. Ability to work locally (remote employment is not possible). Demonstrate initiative and a team orientation. Apply strong communications skills. Exhibit strong critical thinking skills. Experience with object-oriented programming principles. Desired Skills: Active U.S. DoD security clearance, Secret or higher. Knowledge and experience with Modeling & Simulation (M&S) environments (constructive and virtual) and/or Modeling, Simulation, and Analysis (MS&A) concepts. Experience with engagement, mission, or campaign level simulation environments. Familiarity with modern military systems, both foreign and domestic.

Housekeeper

Hourly Rate: $20.90 Are you looking for a place where meaningful moments are made together? At Marriott Vacations Worldwide (MVW), we make vacation dreams come true for travelers around the world in a supportive, friendly, and beautiful work environment. As a Housekeeper at MVW, you will assist in providing our Owners/guests with experiences and events to make memorable vacation memories, where meaningful moments are made together. Where great benefits lead to a life fulfilled. Competitive Pay Medical/Dental/Vision/401K opportunities Travel discounts Credit Union Membership Tuition Reimbursement Professional Counseling & Family Support Growth and Development Opportunities *Benefit Eligibility will vary by position Site Specific Perks Free On-Site Parking Discounted meals, complimentary soft drinks Department celebrations Associate Appreciation Week Monthly associate recognition and reward programs Work shoe stipend provided As a Housekeeper, a typical day will include: Cleans the entirety of villas (Kitchens, Bathrooms, Dining Rooms, Bedrooms) according to standards. Completes assigned rooms and tasks within the scheduled shift. Replaces all guest amenities such as linens, towels, toiletries, and kitchen items according to standards. Reports room status to the Main Linen Room, Housekeeping Manager/Supervisor, or Front Desk. Fills the Housekeeping cart/caddy with all necessary supplies/chemicals, transport the cart/caddy to the rooms, and return the cart to the designated area at the end of the shift. Follows all company policies and procedures; reports any maintenance problems, safety hazards, and/or accidents. Guest Experience and Company Standards Welcome and greet guests and anticipate and address their needs. Interact with colleagues and guests professionally and promptly. Contribute to team goals. Always follow company policies and safety procedures. To Become a Housekeeper at MVW: Available to work various shifts, holidays, and both weekend days. Reach overhead and below the knees, perform bending, twisting, pulling, and stooping, and be able to stand, sit, or walk for an extended period of time. Lift/Carry/Push/Pull Items that Weigh up to 25lbs without assistance. Position may require background and drug screening contingent on company policy in accordance with applicable legal requirements. Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.