Computer programming jobs in United States

FOX Rehabilitation is hiring a Fitness Specialist to lead group exercise and personal training for older adults at a Senior Living Community in the Staten Island, NY area. This role is ideal for a personal trainer, exercise science graduate, or certified fitness professional passionate about healthy aging, fall prevention, and functional fitness for seniors. This is a part-time position (approximately 6 hours per week) with a clear path to grow your caseload and hours. You will serve as the primary wellness professional embedded within a Senior Living Community, delivering evidence-based fitness programming to older adults through group classes, one-on-one personal training, and partner training sessions. Current schedule: Monday through Friday Drive engagement among residents to increase group class participation and build a 1:1 and partner training client base. Growth is fueled by your relationship-building efforts and reinforced by referrals from FOX's skilled therapy team as patients transition out of rehabilitation. Work alongside FOX Physical and Occupational Therapists and Speech Language Pathologists at the Senior Living Community. Build trust with clinicians who refer patients to wellness, a direct pipeline that supports your schedule growth. Confidently communicate the benefits of wellness programming to residents, family members, and power-of-attorney contacts to increase participation and program awareness. Travel to patient residences for house call sessions and expand into additional communities as your territory grows. FOX Rehabilitation is a clinician-operated practice rooted in meaningful relationships, evidence-based care, and a mission to abolish ageism. You’ll be supported by leaders who understand client and senior living community engagement, because they’ve lived it. • Opportunities to practice in both in-home and senior living community settings, • Potential telehealth / virtual care components that expand flexibility and access, • Opportunity to autonomously drive growth of FOX Wellness and be the SLC’s “go to” for all things Wellness, • A collaborative, interdisciplinary environment (PT, OT, SLP, Fitness Specialists), • Work within a community-based practice that supports independence, wellness, and longevity, • A culture that invests in your growth and values provider-driven decision-making, • Bachelor's degree in Exercise Science, Kinesiology, or Exercise Physiology; OR Certified Personal Trainer through a nationally accredited organization (ACSM, NSCA, NASM, ACE, ISSA preferred); OR prior fitness training experience with willingness to obtain CPT certification, • Experience or strong interest in working with older adults in a proactive, wellness-focused setting, • Comfortable presenting and educating residents and families on wellness program benefits, • Ability to travel between Senior Living Communities and patient residences as needed, • Current CPR certification, • Proficient in Microsoft Office; responsive to email, Teams, text, and phone, • Basic computer skills for documentation and scheduling The physical demands below are representative of those required to successfully perform the essential functions of this role. The strength classification for this position is medium, defined as: • Exerting 25–50 lbs. of force occasionally (up to 1/3 of the time), • Exerting 10–25 lbs. of force frequently (up to 2/3 of the time), • Exerting up to 10 lbs. of force constantly Additional physical requirements include: • Ability to perform CPR, • Moderate to maximum assists with patient transfers and bed mobility, • Able to reposition a bed-bound patient independently, • Required to stoop, sit, bend, pull, climb, reach, kneel, crouch, and climb stairs, • Stand for extended periods of time, • Prolonged periods of intense physical exertion including running, lifting, and stretching, • Perform repetitive movements of the upper extremities, • Extensive walking throughout the shift, • Fit to drive (required for House Calls setting), • Regularly required to talk and hear; specific vision abilities include close vision and ability to adjust focus, • Frequently required to stand, walk, use hands to feel, and reach with hands and arms Noel Styer Talent Acquisition Specialist Noel.styer@foxrehab.org 609-690-1589 You can also text FOX to 609-853-5114 to learn more! #LI-NS1 FOX Rehabilitation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. In New York, the standard base pay range for this role is $19.25 - $27.75 an hour with an opportunity to earn more.

FOX Rehabilitation is hiring a Fitness Specialist to lead group exercise and personal training for older adults at a Senior Living Community in Florham Park, NJ. This role is ideal for a personal trainer, exercise science graduate, or certified fitness professional passionate about healthy aging, fall prevention, and functional fitness for seniors. This is a part-time position 5-22.5 hours per week) with a clear path to grow your caseload and hours. You will serve as the primary wellness professional embedded within a Senior Living Community, delivering evidence-based fitness programming to older adults through group classes, one-on-one personal training, and partner training sessions. Current schedule Monday 9-11, Wed 11-12, Friday 10-11 Tues/Thursday 2-3 Sat 10-11, Sun 11-12 Drive engagement among residents to increase group class participation and build a 1:1 and partner training client base. Growth is fueled by your relationship-building efforts and reinforced by referrals from FOX's skilled therapy team as patients transition out of rehabilitation. Work alongside FOX Physical and Occupational Therapists and Speech Language Pathologists at the Senior Living Community. Build trust with clinicians who refer patients to wellness, a direct pipeline that supports your schedule growth. Confidently communicate the benefits of wellness programming to residents, family members, and power-of-attorney contacts to increase participation and program awareness. Travel to patient residences for house call sessions and expand into additional communities as your territory grows. FOX Rehabilitation is a clinician-operated practice rooted in meaningful relationships, evidence-based care, and a mission to abolish ageism. You’ll be supported by leaders who understand client and senior living community engagement, because they’ve lived it. Opportunities to practice in both in-home and senior living community settings Potential telehealth / virtual care components that expand flexibility and access Opportunity to autonomously drive growth of FOX Wellness and be the SLC’s “go to” for all things Wellness A collaborative, interdisciplinary environment (PT, OT, SLP, Fitness Specialists) Work within a community-based practice that supports independence, wellness, and longevity A culture that invests in your growth and values provider-driven decision-making Bachelor's degree in Exercise Science, Kinesiology, or Exercise Physiology; OR Certified Personal Trainer through a nationally accredited organization (ACSM, NSCA, NASM, ACE, ISSA preferred); OR prior fitness training experience with willingness to obtain CPT certification Experience or strong interest in working with older adults in a proactive, wellness-focused setting Comfortable presenting and educating residents and families on wellness program benefits Ability to travel between Senior Living Communities and patient residences as needed Current CPR certification Proficient in Microsoft Office; responsive to email, Teams, text, and phone Basic computer skills for documentation and scheduling The physical demands below are representative of those required to successfully perform the essential functions of this role. The strength classification for this position is medium, defined as: Exerting 25–50 lbs. of force occasionally (up to 1/3 of the time) Exerting 10–25 lbs. of force frequently (up to 2/3 of the time) Exerting up to 10 lbs. of force constantly Additional physical requirements include: Ability to perform CPR Moderate to maximum assists with patient transfers and bed mobility Able to reposition a bed-bound patient independently Required to stoop, sit, bend, pull, climb, reach, kneel, crouch, and climb stairs Stand for extended periods of time Prolonged periods of intense physical exertion including running, lifting, and stretching Perform repetitive movements of the upper extremities Extensive walking throughout the shift Fit to drive (required for House Calls setting) Regularly required to talk and hear; specific vision abilities include close vision and ability to adjust focus Frequently required to stand, walk, use hands to feel, and reach with hands and arms NAME Talent Acquisition Specialist EMAIL PHONE NUMBER You can also text FOX to 609-853-5114 to learn more! #LI-XXX FOX Rehabilitation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. In New Jersey, the standard base pay range for this role is $21.00 - $27.75 an hour with an opportunity to earn more.

FOX Rehabilitation is hiring a Fitness Specialist to lead group exercise and personal training for older adults at a Senior Living Community in Port Washington, NY. This role is ideal for a personal trainer, exercise science graduate, or certified fitness professional passionate about healthy aging, fall prevention, and functional fitness for seniors. This is a part-time position (approximately 20 hours per week) with a clear path to grow your caseload and hours. You will serve as the primary wellness professional embedded within a Senior Living Community, delivering evidence-based fitness programming to older adults through group classes, one-on-one personal training, and partner training sessions. Current schedule: 9:30 AM -1:30 PM - flexible *Aqua class is included. Yoga experience would be beneficial but not required Drive engagement among residents to increase group class participation and build a 1:1 and partner training client base. Growth is fueled by your relationship-building efforts and reinforced by referrals from FOX's skilled therapy team as patients transition out of rehabilitation. Work alongside FOX Physical and Occupational Therapists and Speech Language Pathologists at the Senior Living Community. Build trust with clinicians who refer patients to wellness, a direct pipeline that supports your schedule growth. Confidently communicate the benefits of wellness programming to residents, family members, and power-of-attorney contacts to increase participation and program awareness. Travel to patient residences for house call sessions and expand into additional communities as your territory grows. FOX Rehabilitation is a clinician-operated practice rooted in meaningful relationships, evidence-based care, and a mission to abolish ageism. You’ll be supported by leaders who understand client and senior living community engagement, because they’ve lived it. Opportunities to practice in both in-home and senior living community settings Potential telehealth / virtual care components that expand flexibility and access Opportunity to autonomously drive growth of FOX Wellness and be the SLC’s “go to” for all things Wellness A collaborative, interdisciplinary environment (PT, OT, SLP, Fitness Specialists) Work within a community-based practice that supports independence, wellness, and longevity A culture that invests in your growth and values provider-driven decision-making Bachelor's degree in Exercise Science, Kinesiology, or Exercise Physiology; OR Certified Personal Trainer through a nationally accredited organization (ACSM, NSCA, NASM, ACE, ISSA preferred); OR prior fitness training experience with willingness to obtain CPT certification Experience or strong interest in working with older adults in a proactive, wellness-focused setting Comfortable presenting and educating residents and families on wellness program benefits Ability to travel between Senior Living Communities and patient residences as needed Current CPR certification Proficient in Microsoft Office; responsive to email, Teams, text, and phone Basic computer skills for documentation and scheduling The physical demands below are representative of those required to successfully perform the essential functions of this role. The strength classification for this position is medium, defined as: Exerting 25–50 lbs. of force occasionally (up to 1/3 of the time) Exerting 10–25 lbs. of force frequently (up to 2/3 of the time) Exerting up to 10 lbs. of force constantly Additional physical requirements include: Ability to perform CPR Moderate to maximum assists with patient transfers and bed mobility Able to reposition a bed-bound patient independently Required to stoop, sit, bend, pull, climb, reach, kneel, crouch, and climb stairs Stand for extended periods of time Prolonged periods of intense physical exertion including running, lifting, and stretching Perform repetitive movements of the upper extremities Extensive walking throughout the shift Fit to drive (required for House Calls setting) Regularly required to talk and hear; specific vision abilities include close vision and ability to adjust focus Frequently required to stand, walk, use hands to feel, and reach with hands and arms Jenna Diorio Talent Acquisition Specialist _ 856 239 1916 You can also text FOX to 609-853-5114 to learn more! #LI-JD2 FOX Rehabilitation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. In New York, the standard base pay range for this role is $19.25 - $27.75 an hour with an opportunity to earn more.

Harmony in Motion Physical Therapy is actively seeking a dedicated and compassionate Physical Therapist (PT) to join our dynamic team in Avenel, New Jersey. This full-time role offers the opportunity to provide high-quality, patient-centered care in a home care setting, ensuring that our clients receive personalized treatment plans that promote healing and mobility. At Harmony in Motion Physical Therapy, our mission is to deliver comprehensive, accessible, and innovative physical therapy services to patients of all ages and backgrounds. We pride ourselves on being a team of compassionate professionals who are committed to enhancing the quality of life for our clients through effective therapeutic interventions. Our approach integrates evidence-based practices and empathetic care to ensure the best outcomes for those we serve. The role of Physical Therapist will be performed primarily in clients' homes, allowing for a unique and flexible work environment. This onsite engagement enables you to connect with patients in their own surroundings, facilitating more personalized care. The culture at Harmony in Motion fosters teamwork, encouragement, and ongoing professional development, all within a supportive framework. As a Physical Therapist, you will be responsible for: • Conducting thorough evaluations of patients recovering from surgeries, injuries, or chronic illnesses in their home settings., • Developing individualized treatment plans tailored to each patient's needs, utilizing various therapeutic practices such as exercise programming, hands-on techniques, and modalities to alleviate pain and enhance mobility., • Continuously monitoring and documenting patient progress, responses to treatment, and outcomes to ensure clinical effectiveness., • Adapting and updating treatment strategies according to patient progress and reevaluating therapy goals regularly., • Educating patients and their caregivers on therapeutic techniques and the proper use of assistive devices to foster independence in daily activities., • Maintaining your professional and technical skill set through attendance at workshops and engagement with professional networks. Your expertise will benefit a diverse client population, including patients dealing with acute injuries, post-operative recovery, and chronic medical conditions. Your role will be crucial in helping them regain function, improve their mobility, and enhance their quality of life. The ideal candidate will possess: • A Doctorate degree in Physical Therapy (DPT)., • A valid State License in Physical Therapy., • Strong communication skills to effectively engage with patients, families, and interdisciplinary teams., • Proficient computer skills including word processing and documentation software to maintain accurate client records., • A commitment to high-quality patient care and strong organizational abilities., • A flexible and adaptable mindset to thrive in varied home care environments. While a minimum of two years of professional experience is preferred, we encourage applications from new graduates willing to learn and grow in a supportive setting. Exposure to home care environments and familiarity with assistive devices will be advantageous. We offer a competitive salary range of $100,000 to $120,000 per year, complemented by an attractive benefits package that includes: • Sign-on bonus for eligible candidates., • Flexible work schedules to promote work-life balance., • Comprehensive medical, dental, and vision insurance coverage., • 401k plan with discretionary employer matching to support your financial future., • Paid time off to ensure well-being and personal time away., • Continuing education opportunities, including workshops and certifications, to advance your skills., • Referral bonuses for bringing talented professionals into our team. At Harmony in Motion, we believe in the growth of our team members. Our mentorship program supports novice therapists, helping you gain confidence and expertise as you embark on your professional journey. We encourage our professionals to pursue specializations and additional qualifications that align with their career goals. Choosing to work with Harmony in Motion means becoming part of a caring, dedicated community that values each team member's contributions. You will have the chance to make a substantial impact on your patients' lives while working in an environment that prioritizes health and wellness for both clients and staff. Your expertise will be respected, your ideas welcomed, and your professional goals supported. If you are ready to make a difference in the lives of our patients and advance your career in a fulfilling and supportive environment, we invite you to apply today. Please submit your CV and cover letter for consideration. Join us in our mission to bring harmony and motion back to life!

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

🚀 WE'RE HIRING | WordPress Developer \n 🏢 Work Mode: Remote \n 💼 Employment Type: Contract \n \n We are looking for an experienced WordPress Developer with strong full-stack development skills and expertise in custom WordPress development. \n The ideal candidate should have hands-on experience building custom WordPress themes and plugins from scratch, with strong PHP skills and a deep understanding of WordPress architecture. \n 🔹 Key Responsibilities: \n\n • Develop and maintain custom WordPress themes and plugins.\n, • Build websites using native WordPress functionality without relying on Elementor, ACF, or third-party page builders.\n, • Develop custom post types, taxonomies, metadata, hooks, filters, and REST APIs.\n, • Build responsive and accessible front-end interfaces.\n, • Troubleshoot complex code issues, debug legacy applications, and perform code refactoring.\n, • Identify and resolve application security vulnerabilities.\n, • Optimize website performance, code quality, and maintainability.\n, • Work with existing codebases, Composer dependencies, and modern development tools.\n\n 🔹 Mandatory Technical Skills: \n\n • 5+ years of professional WordPress development experience.\n, • Advanced PHP and Object-Oriented Programming (OOP).\n, • Custom WordPress Theme Development from scratch.\n, • Custom WordPress Plugin Development.\n, • Strong understanding of WordPress Core Architecture, Hooks, Filters, and REST APIs.\n, • JavaScript, HTML5, CSS3, SCSS, and Bootstrap.\n, • Node.js, npm, Composer, PHP Namespaces, and Autoloading.\n, • WordPress security, debugging, and code remediation.\n, • Git and deployment workflows.\n, • Hands-on experience with WP Engine.\n\n 🔹 Good to Have: \n\n • Technical SEO, Structured Data, and AEO.\n, • WCAG accessibility standards.\n, • Experience with legacy application refactoring and security assessments.\n\n 🎓 Education: Bachelor's degree in Computer Science or equivalent technical training. \n Important: We are specifically looking for developers with strong custom WordPress coding experience who can build themes and plugins independently without depending on ACF, Elementor, or other page builders. \n

AI Engineer 3 (AI Foundations)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n 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. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description Mission Statement: Baltic Street Wellness Solutions is committed to providing peer recovery, person-centered, trauma informed, and compassionate services to those with mental health lived experience. Vision: Our vision is to drive a cultural transformation within the mental health community by advocating for the underserved, educating for change, and inspiring wellness. We approach our role with cultural humility and mindfulness of oppressive systems. Program Summary The Adult Homes Initiative is designed to provide peer support services to people transitioning from adult homes into the community and in community support for those people that have already transitioned back into independent in-community living through individual and group peer support engagements and the execution and development of service plans. Our peer staff will use their lived experience to support and bridge individuals from adult home settings into their desired communities throughout Brooklyn, Bronx and Staten Island. Our Core Values: • We value a mentoring philosophy delivered from staff with peer lived experiences., • We value the recovery journey of every individual with a mental health diagnosis., • We value the personal and professional experiences of our staff and board members., • We value community action to change societal views to break the stigma of mental health through advocacy within all systems., • We value everyone's desire to have opportunities to obtain their visions of wellness., • We value education and training to enhance an individual's opportunities for growth in one's personal journey to self-discovery. Position Summary As a Senior Peer Bridger, you will oversee and support a team of Certified Peer Bridgers who provide peer support services to individuals facing mental health challenges. Your primary responsibility will be to ensure the effective delivery of peer support programs and the professional development of your team members. You will provide guidance, supervision, and coordination to ensure the highest quality of care and adherence to organizational standards. Essential Duties and Responsibilities • Supervision and Guidance: Provide direct supervision, support, and guidance to a team of Certified Peer Bridgers. Conduct regular individual supervision sessions to discuss caseloads, review progress, provide feedback, and address any challenges or concerns., • Program Development: Collaborate with program leadership to develop and implement peer support programs that align with the needs and goals of the target population. Contribute to the design of program frameworks executions, weigh in on program procedures., • Team Coordination: Coordinate the day-to-day operations of the Certified Peer Bridger team, ensuring appropriate workload distribution, caseload management, and adherence to program timelines. Coordinate with program leadership to identify and support maintaining a positive team culture that promotes collaboration, learning, and professional growth., • Training and Development: Identify training needs and coordinate with program leadership to provide or facilitate relevant training opportunities for Certified Peer Bridgers. Stay updated on best practices in peer support, recovery-oriented approaches, and mental health interventions to enhance the skills and knowledge of your team through regular training and supervision with program leadership., • Quality Assurance: Monitor the quality and effectiveness of peer support services being provided by the Certified Peer Bridgers. Conduct regular file reviews, case consultations, and audits to ensure compliance with program guidelines, ethical standards, and regulatory requirements., • Program Evaluation and Reporting: Collect, analyze, and report program data and outcomes to program leadership to contribute to informing program improvements and demonstrate the effective impacts of peer support services. Collaborate with the program leadership to help improve evaluation tools and methods., • Collaboration and Networking: Establish and maintain collaborative relationships with internal stakeholders (e.g., Regional Managers, Program Director, and Deputy Director of Programming) and external partners (e.g., community organizations, OMH, Housing providers, care management, in-reach teams, club houses, PROS programs) to enhance service coordination and referrals for program participants., • Documentation and Record Keeping: Ensure accurate and timely documentation of participant interactions, progress notes, and program-related documentation in compliance with organizational policies and confidentiality guidelines (HIPPA)., • Crisis Management: Provide support and guidance to Certified Peer Bridgers in handling crisis situations, including trauma informed risk assessment, managing safety concerns, and facilitating appropriate referrals to emergency services when necessary., • Continuous Learning: Stay informed about current research, best practices, and emerging trends in peer support, mental health recovery, and related fields. Participate in professional development activities to enhance your knowledge and skills as a Certified Senior Peer Bridger. Minimum Qualifications (Knowledge, Skills, and Abilities) • High School Diploma, GED (General Equivalency Diploma) required, College degree in related field a plus., • At least two years’ experience working as a Senior Peer Bridger, demonstrated experience working as a Certified Peer Bridger or in a similar peer support role. Previous experience in a supervisory or leadership capacity is a must., • New York State Certified Peer Specialists certification (Active) - or must be Re-certified within 5 months of hiring., • Strong understanding of mental health challenges, recovery-oriented approaches, and the principles of peer support. Familiarity with evidence-based interventions and current trends in trauma informed mental health care and substance abuse systems., • Proven ability to provide effective supervision, coaching, and mentorship to a team of professionals. Strong leadership and team-building skills to foster a positive and collaborative work environment., • Excellent verbal and written communication skills, including active listening, conflict resolution, and interpersonal skills. Ability to communicate effectively with diverse stakeholders, including program participants, staff members, and external partners., • Demonstrate knowledge of advocacy, self-help, and empowerment programs for recipients of mental health and substance abuse services, • Ability to be a role model and convey a message of hope and wellness for people diagnosed with mental illness and working peer staff., • Strong organizational and time management skills to manage multiple priorities, meet deadlines, and ensure the smooth operation of programs and services., • Understanding of professional boundaries, ethical guidelines, and confidentiality requirements when working with individuals facing mental health challenges., • Ability to collaborate and coordinate with multidisciplinary teams, including mental health professionals, social workers, and community organizations., • Ability to complete competent documentation requirements regarding work activities., • Must have lived experience with the public mental health system, • Computer Skills: Proficiency in using computer applications and software for documentation, data management, and communication purposes. – knowledge of Foothold Technology’s AWARDS system is a plus, • Selected candidates will be required to work throughout the 5 boroughs Baltic Street Wellness Solutions will require selected candidates to submit proof of complete vaccination against COVID-19 and having received a booster shot. If a candidate has a qualifying medical condition or religious exemption that contraindicates a COVID-19 vaccination, an exemption form should be requested from Human Resources. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. While performing the duties of this position, the employee is regularly required to talk or hear. The employee frequently is required to use hands or finger, handle, or feel objects, tools, or controls. The employee is occasionally required to stand, walk, sit; reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, peripheral vision, and the ability to adjust focus. The noise level in the work environment is usually moderate.

Job Description ABOUT US New York Edge is the largest provider of after-school and summer camp programs in New York City public schools. Each year, academic programs—including STEM, the arts, sports and wellness, and college access—help 40,000 students develop leadership skills and succeed in school. Working parents count on our programs to provide safe and enriching environments for their children. SUMMARY Extended Day Activity Instructors lead afterschool programming for children and teens at New York Edge after-school program sites. The STEM activity instructor has a dual reporting role, supporting the curriculum and instruction department team by designing lesson plans and implementing curricula across New York Edge program sites. They will also support the program director by preparing STEM-based activity materials and explaining principles, techniques, and safety procedures to student participants. Schedule: Part-Time Monday – Friday 2:00 pm – 6:00 pm (Days/shifts vary depending on site needs) This role requires you to be in person. ESSENTIAL JOB FUNCTIONS Build strong relationships with and among students Teach or co-lead daily activities Learn and facilitate STEM curriculum, including Math, Robotics, Science, Coding, Technology and/or Engineering. Establish clear objectives for all lessons, units, and projects and communicate those objectives to students. Participate in ongoing professional development activities Prepare materials for daily activities Adapt teaching methods and instructional materials to meet students' needs and interests. Support the coordination of program events Input data and prepare reports Administer pre and post-assessments and evaluations for student activities QUALITIES WE’RE LOOKING FOR Demonstrated ability to lead activities with children and teens Creativity Must have excellent communication, organizational, and time management skills Experience working with children and teens Ability to multitask and manage workflow in a fast-paced environment Ability to establish and maintain effective working relationships with program staff, school personnel, parents Sensitive to social-emotional needs and characteristics of students Self-starter who takes initiative Flexibility, reliability, and sound judgment Other duties as assigned REQUIREMENTS High School Diploma or equivalent Must be at least 18 years of age College credits in computer programming, engineering, education, math, science and/or similar related degrees are highly preferred Must be knowledgeable and skilled in a variety of STEM activities and have prior experience successfully teaching and instructing youth Experience working with children strongly preferred May be required to walk up and down stairs. May have to lift or move objects/materials as needed. Work is permitted mostly within a New York City Public School but may be required to interact with community-at-large during trips or events. Specialists will be required to report to the school building and interact with staff, students, parents, and school administration. At the time of offer and acceptance, the job requires safety and security clearances through the Department of Education and the Department of Healt

Job Description THE ORGANIZATION The Center for Justice Innovation is a nonprofit organization dedicated to advancing community safety and racial justice. Since 1996, we’ve worked alongside communities, courts, and those most directly affected by the justice system to build stronger, healthier, and more equitable neighborhoods. With a team of over 900 staff and an annual budget of $130 million, the Center carries out its mission through three core strategies: • Operating Programs that pilot new ideas and address local challenges;, • Conducting original research to evaluate what works—and what doesn’t; and, • Providing expert assistance and policy guidance to reformers across the country and beyond. Backed by decades of on-the-ground experience and nationally recognized expertise, we bring innovative, practical, and lasting solutions to justice systems nationwide. Learn more about our work at www.innovatingjustice.org. THE OPPORTUNITY The Queens Community Justice Center (Justice Center) works to create a safer, more equitable Queens through community-driven safety initiatives, alternative justice strategies, violence prevention, economic development, community healing, and youth opportunity. The Queens Community Justice Center is seeking a Youth Coach for its QUEST (Queens Engagement Strategies for Teens) alternative-to-detention (ATD) program. Reporting to the Program Coordinator, the Youth Coach supports participants enrolled in the Alternative to Detention program and will develop and implement programming to support social emotional learning for all participants. The Youth Coach will be responsible for tracking school attendance, curfew compliance and court attendance of all youth enrolled in the program, provide programming for youth during after-school hours, and will work with stakeholders and staff to ensure effective delivery of services to participants and their families. Responsibilities include but are not limited to: • Work with a caseload of youth (age 12-17), which includes weekly case management, coaching, crisis response, coordination of care, and referral services;, • Develop individualized action plans and aftercare plans with participants;, • Develop, facilitate, implement, and coordinate daily after-school programming for all youth enrolled in the QUEST program;, • Facilitate psychoeducational group workshops as part of after-school programming;, • Collaborate with Family Court practitioners as part of ongoing case management duties;, • Identify program participants’ strengths and individual interests;, • Collaborate in all service planning for youth;, • Refer families to appropriate services and resources and respond with innovative solutions when challenges present;, • Conduct curfew monitoring calls;, • Obtain school attendance records;, • Provide educational support and advocacy for participants;, • Maintain records of identified participants’ contacts to produce regularly scheduled reports;, • Prepare court reports;, • Participate in field work to support youth, as needed;, • Represent QUEST ATD and support youth during scheduled court hearings as needed;, • Participate in other QCJC programming and events, including community and other partner meetings, as needed; and, • Additional relevant tasks, as needed. Qualifications:, • Bachelor’s degree in social services or related field or a High School diploma (or higher) and at least 3-4 years of experience in youth development work preferably within the juvenile justice system;, • Bilingual (English/Spanish) strongly preferred;, • Excellent written and verbal communication and computer skills required; and, • Candidate must be able to work in a multi-disciplinary setting and maintain strong relationships with youth, families, multiple agencies and organizations both onsite and in the community. Position Type: Full-Time 11:00 AM to 7:00 PM, some late evenings and weekends as needed. Position Location: Queens, NY. Compensation: The compensation range for this position is $28.57 - $30.31 per hour, annually equivalent to $52,000 - $55,169 based on a 35-hour work week and is commensurate with experience. Benefits: The Center for Justice Innovation offers an excellent benefits package including comprehensive healthcare with a national network, free basic dental coverage, vision insurance, short-term and long-term disability, life insurance, and flexible spending accounts including commuter FSA. We prioritize mental health care for our staff and offer services like Talkspace and Ginger through our healthcare plans. We offer a 403(b) retirement plan with a two-to-one employer contribution up to 5%. The Center for Justice Innovation is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender identity, gender expression, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. We strongly encourage and welcome applications from women, people of color, members of the LGBTQ+ community, and individuals with prior contact with the criminal justice system. Our goal is to create a supportive and respectful environment where everyone, regardless of background or identity, feels valued and included. At this time, the Center is unable to sponsor or take over sponsorship of an employment visa. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment. Candidates are expected to provide accurate and truthful information throughout the hiring process. Any misrepresentation, falsification, or omission of material facts may result in disqualification from consideration, withdrawal of an offer, or termination of employment, regardless of when discovered. In compliance with federal law, all hires must verify their identity and eligibility to work in the United States and complete the required employment verification form upon hire. Please refer to the job posting for relevant contact information. If contact details are not provided, we kindly ask that you refrain from inquiries via phone or email, as only shortlisted candidates will be contacted. Powered by JazzHR VmwRVAc350

Job Description Location: Watchung, NJ FLSA Status: Non-exempt Salary Range: $25.00 - $33.50 per hour Telecommute: Not Eligible Comprehensive Benefits Package for Eligible Employees Welcome to Mercy, where the mission meets you! Are you an Enrichment Coordinator with a heart for service and a passion for providing meaningful experiences that enrich the lives of others? Join the Sisters of Mercy, and be part of something extraordinary—caring for those who have spent their lives caring for others. Why You’ll Love It Here: Make a meaningful difference in the lives of our Sisters and residents. Create engaging programs that promote wellness, connection, dignity, and joy. Build relationships with residents, families, staff, volunteers, and the community. Help create a welcoming environment where everyone feels valued and included. What You’ll Do: Plan and lead recreational, educational, spiritual, and social enrichment programs. Develop person-centered activities that support residents’ interests, wellness, and quality of life, including those living with dementia. Coordinate group activities, outings, celebrations, music, games, and special events. Build community partnerships and recruit, train, and coordinate volunteers. Prepare monthly activity calendars and maintain attendance records. Collaborate with interdisciplinary team members and families to support individualized programming. Assist with transportation for outings using an accessible vehicle as needed. Manage enrichment supplies and work within the department budget. Maintain a safe, welcoming environment and follow all safety procedures. Participate in occasional evening and weekend programming. Perform other duties as assigned. What You Bring: Associate’s degree or equivalent in a related field. 3–5 years of relevant experience, including at least 2 years in gerontology, long-term care, memory care, or working with individuals living with dementia. Experience coordinating activities, programs, or events. Ability to communicate effectively and engage with individuals experiencing dementia. Strong organizational, communication, and computer skills. Valid driver’s license and ability to transport residents in an accessible van. Flexibility to work some evenings and weekends. Ability to maintain confidentiality. Preferred Qualifications: Experience in healthcare, senior living, or a faith-based organization. Knowledge of person-centered dementia care practices. Experience training, mentoring, or coordinating staff and volunteers. Strong leadership, problem-solving, and interpersonal skills. Appreciation for the traditions and mission of the Sisters of Mercy and the Catholic Church. More Than a Role—It’s a Ministry of Care At the Sisters of Mercy, our mission is rooted in compassion, dignity, and social justice. When you care for our retired Sisters, you become part of a legacy of mercy and service. Ready to Bring Your Whole Heart to Work? If you’re looking for more than just a job—and want to make every shift meaningful—apply today. Let your compassion shine with the Sisters of Mercy.

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (Gen AI Platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job DescriptionDescription: POSITION SUMMARY The Facilities Maintenance Specialist is responsible for the reliable operation, maintenance, troubleshooting, and improvement of facility infrastructure and building systems supporting a GMP pharmaceutical/biotechnology manufacturing and laboratory environment. A primary responsibility of this position is the operation, troubleshooting, and maintenance of the Siemens Building Management System (BMS), including Siemens Desigo controls. The individual will use the BMS to monitor and troubleshoot HVAC and facility systems, analyze alarms and trends, evaluate equipment performance, and support environmental conditions throughout the facility. CORE REQUIREMENT – SIEMENS BMS / CONTROLS The successful candidate must have demonstrated hands-on experience with Siemens Desigo or a comparable Siemens Building Management System and be capable of using the BMS to troubleshoot HVAC equipment, alarms, sensors, valves, dampers, control sequences, trends, and environmental conditions. Requirements: KEY RESPONSIBILITIES • Serve as a key Facilities resource for the Siemens Desigo Building Management System (BMS)., • Monitor and troubleshoot HVAC and facility equipment through the Siemens BMS., • Diagnose BMS alarms, equipment faults, communication issues, sensor problems, and abnormal operating conditions., • Review AHU, RTU, chiller, boiler, humidifier, exhaust, and other HVAC system graphics and operating parameters., • Analyze BMS trends for temperature, humidity, pressure, airflow, supply/return temperatures, valve position, damper position, and other critical parameters., • Troubleshoot control loops and determine whether issues originate from controls, sensors, actuators, valves, dampers, mechanical equipment, or field devices., • Understand HVAC control sequences, including heating/cooling valve operation, humidity control, temperature control, and differential pressure., • Adjust authorized BMS setpoints, schedules, alarm limits, and operating parameters in accordance with approved procedures., • Identify recurring alarms and equipment performance issues and recommend corrective actions., • Work with Siemens and other controls vendors to troubleshoot system issues and implement corrective actions., • Support BMS upgrades, programming modifications, graphics changes, controls installations, and system commissioning., • Verify proper operation of controls following maintenance, repairs, or system modifications., • Maintain accurate documentation of BMS changes, alarms, troubleshooting activities, and corrective actions. FACILITIES MAINTENANCE • Perform preventive, predictive, and corrective maintenance on facility equipment and systems., • Troubleshoot and maintain AHUs, HVAC systems, chillers, boilers, pumps, compressors, vacuum systems, humidification systems, exhaust systems, plumbing systems, electrical systems, and building automation/control systems., • Troubleshoot low-voltage electrical and control circuits., • Perform inspections and monitor facility equipment for abnormal conditions., • Respond to equipment failures and facility emergencies., • Complete maintenance work orders and accurately document work performed., • Support contractors and outside service providers during repairs, inspections, and projects., • Assist with facility construction, equipment installation, relocation, and retrofit projects. GMP / LABORATORY ENVIRONMENT • Perform maintenance activities in GMP pharmaceutical, biotechnology, and laboratory environments., • Understand the impact of HVAC and facility systems on controlled environments., • Support temperature, humidity, pressure differential, and environmental monitoring requirements., • Follow applicable GMP, safety, environmental, and facility procedures., • Support investigations involving HVAC, facility equipment, environmental excursions, alarms, and system failures., • Work closely with Quality, Engineering, Operations, EH&S, and external contractors when required. PREVENTIVE / PREDICTIVE MAINTENANCE & RELIABILITY • Complete scheduled PM and demand work orders in a timely manner., • Identify recurring equipment problems and recommend reliability improvements., • Participate in root-cause troubleshooting and corrective actions., • Identify opportunities to improve equipment reliability and reduce downtime., • Maintain accurate equipment and maintenance records. VENDOR / CONTRACTOR MANAGEMENT • Provide oversight and technical direction to outside contractors and service providers., • Coordinate Siemens controls service and troubleshooting activities., • Review contractor work and verify that repairs meet facility requirements., • Assist with obtaining quotes, scheduling service, and coordinating facility projects. REQUIRED QUALIFICATIONS • High school diploma or equivalent; technical degree, trade certification, or associate degree preferred., • Minimum 5–7 years of facilities maintenance, building automation, HVAC, or facilities operations experience., • Strong hands-on experience with Siemens Desigo or comparable Siemens Building Management Systems., • Demonstrated experience troubleshooting HVAC equipment through a BMS/controls system., • Strong understanding of AHUs, HVAC systems, valves, dampers, pumps, sensors, actuators, and control sequences., • Experience working in a GMP pharmaceutical, biotechnology, laboratory, or similarly regulated environment preferred., • Strong mechanical and electrical troubleshooting skills., • Ability to read mechanical, electrical, HVAC, and controls drawings., • Experience with preventive and predictive maintenance programs., • Ability to work independently with minimal supervision., • Strong computer skills, including Microsoft Word, Excel, Outlook, and CMMS software., • Strong written and verbal communication skills. PREFERRED QUALIFICATIONS • Siemens Desigo certification or formal Siemens controls training., • Experience with Siemens Desigo CC, Insight, or related Siemens BMS platforms., • Experience troubleshooting DDC controls., • Experience with HVAC control sequences and PID/control loops., • Experience with BMS graphics, trending, alarm management, and system scheduling., • HVAC, electrical, controls, or stationary engineer trade certification., • NJ Black Seal Boiler Operator License., • Experience with cleanrooms and controlled environments., • Experience with chilled water, hot water, steam, compressed air, vacuum, and other facility utilities. PHYSICAL / SCHEDULE REQUIREMENTS • Frequent walking, standing, climbing, bending, kneeling, and working in mechanical spaces., • Ability to work from ladders and elevated locations and lift up to 50 lbs., • Participation in an on-call rotation., • Weekend and holiday coverage as required., • Overtime may be required based on facility needs., • Must successfully complete applicable background and drug/alcohol screening. SUCCESS IN THIS ROLE The successful candidate will be able to independently use the Siemens BMS as a troubleshooting tool—not simply monitor alarms. The individual should be able to connect BMS data to the physical equipment, identify the likely source of an HVAC or environmental problem, determine whether the issue is controls-related or mechanical, and coordinate the appropriate corrective action while mainta

Job Description Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect, and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge, and technology power our connected ecosystem of health, safety and security solutions and services. We are seeking a detail-oriented Embedded Service Technician to support our Security Technology Services team. This role will work closely with the Senior Security Integration Professional to coordinate projects, provide operational support, and ensure the smooth delivery of integrated security solutions. The ideal candidate will have a solid foundation in CCure, American Dynamic, and Victor technologies, along with strong organizational and communication skills. This is an excellent opportunity for a professional with technical experience who is looking to grow into a leadership position. Responsibilities: • Assist in the scheduling, coordination, and tracking of security integration projects from initiation through completion., • Lead installation, programming, and maintenance of CCure access control systems., • Installation and management of access control and video management servers and systems, including the setup, programming, and configuration., • Integration of related and interconnected systems (e.g. access control, intrusion detection, video management, visitor management)., • Diagnosis and resolution of client issues with security software, CCTV hardware and computer components and software. Provide onsite and remote technical assistance as needed., • Deploy, configure, and troubleshoot cameras, ensuring seamless integration with VMS and access platforms., • Manage and supervise subcontractors and technical staff to ensure quality, compliance, and project timelines are met., • Provide field-level support for networking, programming, and integration challenges., • Serve as a point of contact for clients regarding scheduling, updates, and minor troubleshooting requests., • Coordinate with subcontractors and vendors to ensure timely delivery of materials and services, • Maintain project documentation, including work orders, equipment lists, change orders, daily logs, and status reports., • Performing project specific activities supporting all Centralized Services Minimum Requirements: • Bachelor’s or 4-year Degree in computer science, technology or engineering related field required., • 3–5 years of experience in security system integration, operations, or project coordination., • Advanced certifications in Software House/CCure access control systems, and American Dynamics CCTV systems are required., • Familiarity with access control, surveillance, low-voltage cabling, and electronic locking devices., • Strong organizational skills with the ability to manage multiple priorities simultaneously., • Excellent written and verbal communication skills with a client-focused mindset, • Problem solving methodology and proven analytical ability, • Excellent verbal and written communication skills, • Strong technical skills and understanding of software, networking and systems development, • Ability to act in an autonomous role with little supervision STC offers comprehensive benefits including: • Highly competitive salary, • Company Vehicle, • Medical, Dental, Vision, and Life Insurance, • Company Paid Short Term and Long-Term Disability, • Paid vacation, holiday and sick time, • 401K with 60% Match up to 6% of salary, • Employee assistance programs (EAP), • Company training programs, • Employee growth opportunities, • Leadership development programs, • Educational assistance, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description § Title: Legal Technology Systems & Workflow Automation Specialist § Practice Area: Legal Operations / Enterprise Practice Technology & Workflow Architecture § Location: Roseland, NJ (Hybrid scheduling flexibility) § Salary: $75,000.00 to $95,000.00 Base Salary (Plus eligibility for discretionary annual performance incentives, merit increases, and comprehensive medical, dental, vision, 401(k), and paid leave benefits) § Schedule: Full-time, Direct-Hire, Standard Professional Services Operational Hours § The Firm: People Placers Staffing has been retained by an esteemed, multi-practice commercial law firm that has anchored the New Jersey legal landscape for nearly a century. With a robust roster of over one hundred attorneys across regional offices in the Northeast and Mid-Atlantic, our client consistently garners prestigious accolades across Martindale-Hubbell, Chambers USA, and regional Best Law Firm evaluations. The organization is renowned for its high-caliber counsel in complex corporate transactions, healthcare regulatory matters, financial restructuring, and sophisticated commercial dispute resolution. Distinguished by an entrepreneurial ethos and a steadfast commitment to modernizing the delivery of legal services, the firm pairs traditional legal excellence with forward-looking operational infrastructure. Employees thrive within an intellectually collaborative, collegial workplace that prioritizes internal advancement, technological empowerment, and work-life balance. This role offers an impactful vantage point within a progressive firm administration that actively invests in cutting-edge business process automation. § Duties: Operating at the critical intersection of legal practice and administrative operational efficiency, the incoming specialist will drive the technical optimization, data synchronization, and process modernization across the enterprise. The role interfaces with practice group leaders, executive management, and departmental stakeholders to eliminate manual bottlenecks and optimize enterprise digital solutions. Core responsibilities include: ⨖ Architecting, configuring, and sustaining end-to-end automated enterprise workflows utilizing Microsoft Power Automate, Zapier, bespoke webhooks, and modern application programming interfaces (APIs). ⨖ Overseeing multi-directional data governance and real-time synchronization between core client relationship management platforms, Microsoft 365 environments, SharePoint repositories, and public-facing web ecosystems. ⨖ Serving as the principal administrator for the firm’s CRM and business development databases, spearheading list segmentation, record deduplication, lifecycle tracking, and data hygiene audits. ⨖ Designing and deploying executive-level business intelligence reports and dynamic performance dashboards to measure operational throughput, attorney engagement, and business development traction. ⨖ Curating digital assets across internal intranet portals and external web properties, guaranteeing the accurate presentation of attorney biographies, legal practice bulletins, seminar registrations, and organizational announcements. ⨖ Collaborating with administrative departments—including finance, human resources, marketing, and IT—to diagnose operational inefficiencies and introduce tailored automated solutions. ⨖ Formulating comprehensive technical documentation, systems manuals, and integration protocols while providing patient, high-touch support and training to legal practitioners and administrative staff. § Qualifications: Candidates must present proven experience in business systems administration and digital process improvement, ideally within professional services or legal environments. ⨖ Bachelor’s degree in Computer Information Systems, Information Technology, Business Administration, or a closely related discipline, or demonstrable equivalent professional experience. ⨖ Two (2) to five (5) years of progressive professional experience administrating enterprise CRM platforms, workflow orchestration utilities, and digital workspace ecosystems. ⨖ Demonstrated technical competency in configuring automated data exchanges and conditional logic using tools such as Microsoft Power Automate, Zapier, and custom API/webhook endpoints. ⨖ Prior experience diagnosing data flow failures, API connection interruptions, and database mapping anomalies across disparate corporate software tools. ⨖ Exceptional interpersonal and consultative communication capabilities, with a proven ability to translate complex systems requirements into accessible language for non-technical attorneys and personnel. § Skills: The following credentials and proficiencies will distinguish top-tier applicants and accelerate organizational impact: ⨖ Substantive administrative mastery within HubSpot, Salesforce, Microsoft Dynamics, or specialized legal CRM environments. ⨖ Familiarity with legal operations management, matter lifecycle protocols, or legal billing and practice management architectures. ⨖ Practical working proficiency in content management frameworks such as WordPress, alongside foundational knowledge of front-end markup (HTML/CSS). ⨖ Demonstrated aptitude with business intelligence and performance reporting platforms, including Power BI, Google Analytics, or Google Tag Manager. ⨖ Proven capability to balance concurrent technical projects, adhere to institutional deadlines, and uphold rigorous data governance standards. !Notice¡ This a job advertisement on behalf of our client and does not reflect the full job description for the role. Any qualified candidates are encouraged to apply. You will need to provide transcripts, a portfolio or systems overview sheet, and a cover letter in order to be considered for this role. This posting does not constitute an offer of employment, and the listed compensation details may vary by state or experience and will be discussed thoroughly during the interview phase.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. YAI supports people of all ages with intellectual and developmental disabilities (I/DD) in achieving the fullest lives possible by creating new opportunities for living, loving, working, and learning. YAI is a network of agencies with programs that empower and enhance the lives of thousands of people with I/DD and their families. YAI promotes a person-centered approach to support people in our programs by creating plans catered to the specific needs of each individual. Join our dynamic team teaching daily and independent living skills, providing individual and group counseling, and promoting community integration. We are hiring for our Full-Time Assistant Behavior Intervention Specialist position at our Bay Ridge 3 IRA. Job Description The ABIS works directly with people in their home, work, and daily lives in varying capacities. An ABIS must have previously worked as a Direct Support Professional, completed all the required trainings, and demonstrated all the knowledge, skills, and accountabilities of a DSP Level three. The ABIS position blends together the DSP role and the clinical leadership role. Clinical leadership under the supervision of the BIS includes educating team members on habilitation and Behavior Support Plans, assisting with clinical assessments, ensuring data collection, and providing direct feedback and education to all team members. YAI is a network of agencies offering people with intellectual and developmental disabilities a comprehensive range of services across all ages. YAI empowers people with disabilities to reach their goals every day. Our enthusiastic staff of over 4,000 professionals believes that everyone has a fundamental right to live, love, work, and learn. If you share our vision and want to help support people to live the fullest lives possible, apply to this position. Schedule: • Sunday - Thursday 3:00pm - 11:00pm Key Responsibilities: • To provide direct care services as needed. This includes, but is not limited to, the provision of direct counseling, implementation of each individual’s treatment plan, training in ADL skills, assistance with personal care, medical, dietary, social, sexual, recreational, financial, habilitative and other needs within the program., • To train staff, which includes, but is not limited to, using the EMOE training system to ensure that all clinical interventions are properly implemented, to communicate clinical rationales to the staff, to provide staff with both formal and informal feedback, and role model at all times appropriate tone, implementing of habilitative and behavioral programming, and appropriate data collection techniques., • To role model the use of person-centered philosophy and person-centered tools., • To develop written, individualized habilitative plans in accordance with the agency philosophy, as determined by individual need., • To conduct assessments, both behavioral and habilitative, via formal means (written questionnaires, rating scales, baseline data, etc.) and informal means (observations), under the supervision of the BIS., • To design effective data collection systems that allows progress to be monitored., • To monitor the data collection, ensure that the data is totaled and summarized on a monthly basis, and that new data sheets are accessible to staff at the beginning of each month., • To oversee/maintain the completion of all required paperwork, including monthlies, Person-Centered materials, and ensure that all pertinent information is included on psychiatric anecdotals., • To provide the appropriate therapeutically documented level of an individual’s supervision to ensure and protect the individual’s health/safety and well-being. Whenever this level is unclear or unknown, to provide the maximum level of supervision to assure and protect the individual’s health and safety., • To train new staff on Level 1 competencies., • Be a Resource to staff by providing clinical support in absence of the BIS/Supervisor, • Be the lead trainer of weekend staff on clinical interventions. Education and Experience: • BA/BS Degree in Psychology or Human Services OR Enrolled in 4-year degree in Psychology or Human Services field, • Experience working within the field of I/DD Additional Knowledge, Skills, and Abilities: • Exceptional interpersonal, problem solving and communication skills, • Must demonstrate clinical skills., • Willing to take initiative, • Highly flexible to varied work schedule, • Experience in computer skills and ability to teach others, • Strong writing ability, • Must demonstrate assertiveness/leadership skills Compensation: • $23.10 - $23.10 / hour YAI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. About the Position: YAI is seeking a qualified Assistant Behavior Intervention Specialist (ABIS) to support our locations in Queens. The Asst. BIS position blends together the Direct Support Professional (DSP) role and a behavioral support role. Under the supervision of the BIS the Asst. BIS will support in educating team members on treatment plans and behavior support plans, assisting with clinical assessments, ensuring data collection, and providing direct feedback and education to all team members. Mission Statement YAI: YAI is a network of agencies offering people with intellectual and developmental disabilities a comprehensive range of services across all ages. YAI empowers people with disabilities to reach their goals every day. Our enthusiastic staff of over 4,000 professionals believes that everyone has a fundamental right to live, love, work, and learn. If you share our vision and want to help support people to live the fullest lives possible, apply to this position. Responsibilities: To provide direct care services as needed. This includes, but is not limited to, the provision of direct counseling, implementation of each individual’s treatment plan, training in ADL skills, assistance with personal care, medical, dietary, social, sexual, recreational, financial, and habilitative, and other needs within the program. To train staff, which includes, but is not limited to, using the EMOE training system to ensure that all clinical interventions are properly implemented, to communicate clinical rationales to the staff, to provide staff with both formal and informal feedback, and role model at all times appropriate tone, implementing of habilitative and behavioral programming, and appropriate data collection techniques Role Model use of person-centered philosophy and use of person-centered tools To develop written, individualized habilitative plans in accordance with the agency philosophy, as determined by individual need. To conduct assessments – both behavioral and habilitative via formal means (written questionnaires, rating scales, baseline data, etc.) and informal (observations), under the supervision of the BIS. To design effective data collection systems that allow progress to be monitored. To monitor the data collection, ensure that the data is totaled and summarized on a monthly basis and that new data sheets are accessible to staff at the beginning of each month. To oversee/maintain the completion of all required paperwork, including monthlies, Person-Centered materials, and ensure that all pertinent information is included on psychiatric anecdotal. To provide the appropriate therapeutically documented level of an individual’s supervision to ensure and protect the individual’s health/safety and well-being. Whenever this level is unclear or unknown, provide the maximum level of supervision to assure and protect the individual’s health and safety. Train new staff on Level 1 competencies. Resource to staff by providing clinical support in absence of the BIS/Supervisor. Lead trainer of weekend staff on clinical interventions Location: Queens, NY Schedule: Sun - Thu 3 pm - 11 pm Full time Evening Education and Experience: BA/BS Degree in Psychology or Human Services is strongly preferred or enrolled in 4-year degree in Psychology or Human Services field. At least one year experience working within the field of I/DD as a Direct Support Professional (DSP). Additional Knowledge, Skills, and Abilities: Exceptional interpersonal, problem solving, and communication skills. Willing to take initiative. Highly flexible to varied work schedule. Experience in computer skills and ability to teach others. College-level writing ability. Must demonstrate assertiveness/leadership skills. Must demonstrate clinical skills Benefits: DailyPay available - Work today, get paid today! Tuition reimbursement Medical/Dental, and Vision Paid Vacation/Holidays and Sick Time 403(b) retirement with employer matching contribution Life Insurance Discounts on travel, entertainment, wireless services, shopping, and more! Compensation: $22.00/hour to $22.00/hour All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. Key/Essential Functions & Responsibilities Responsible for the overall supervision, protection and care of youth supported at all times, including maintenance of program guidelines for the protection of individuals, facilitating learning and training in fire safety and identifying and appropriately escalating signs of an individual’s potential harm to self or others. Provides all services in accordance with agency philosophy and department practices and in compliance with Federal, State, Local and regulatory requirements, specifically NYS Office of Mental Health (OMH) and escalates concerns or questions to supervisor. Supports children in attaining their own unique, behavioral, emotional, intellectual and developmental gains, interacting and intervening as prescribed by individual treatment plans by teaching and fostering skill development, supporting and maximizing strengths, interests and abilities and displaying patience and tolerance while providing therapeutic support to facilitate returns to their homes. Develops an understanding of specific needs of children during their stays, providing support in a variety of settings and in accordance with each youth’s individualized service plan, developing and maintaining appropriate and positive relationships by demonstrating proper social boundaries, actively involving youth in all facets of programming and displaying supportive demeanor and an unconditional positive regard for the youth. Ensures health, wellness and safety of the youth we support by maintaining a physically and emotionally safe, secure, organized and clean therapeutic environment, which includes performing regular laundry and cleaning duties, as needed, providing appropriate supervision and managing crisis situations while adhering to applicable policies, procedures and regulations. Utilizes appropriate therapeutic crisis intervention deescalation techniques and/or prescribed interventions (proximity, time and space, caring gestures, etc.), responding timely and appropriately to redirect or prompt youth experiencing stress and/or self-injurious behavior. Ensures the needs of the youth supported are met by adhering to person-centered individualized plans, supporting therapeutic interventions and activities, encouraging socialization and stabilization and reporting any changes in behavior or other signs and symptoms to clinical and/or leadership team. Assists with a variety of tasks for youth we support, ensuring adherence to applicable and/or mandatory activity schedules as appropriate/authorized, including: Providing or supporting personal care, such as laundry and housekeeping. Assisting with other activities of daily living (ADLs), which may include intimate care or personal hygiene. Observing to ensure that medication is taken as prescribed. Assisting with homework or other remote learning educational activities. Teaching/developing skills. Assisting in communication, self-expression and resolving disputes amongst youth. Providing supervision for and/or planning and preparing balanced meals and snacks in accordance with dietary restrictions and guidelines of modified diets. Transporting and escorting youth on recreational activities, medical appointments and/or to other mandatory activities, such as school, etc. Utilizes safe and appropriate handing procedures when working with youth and implements infection control protocols. Understands behavior as communication and employs person-centered thinking to support positive interactions and prevent further escalation. Collects, records and summarizes data regarding youth supported including charting where prescribed by treatment plan and responses to therapeutic interventions, behaviors, signs, symptoms, setting events, triggers and effective interventions in accordance with all applicable requirements. Completes all paperwork and written records related to individual treatment in appropriate formats, including but not limited to medical and medication management and monitoring, treatment records, progress, behavior and incident reports, data collection, billing records, charting and daily notes accurately, timely and in compliance with all relevant laws, rules and/or regulations. Appropriately documents all interactions with any external entity regarding youth supported, including families and reports errors, incidents or emergencies in compliance with all applicable requirements, including reporting incidents of child maltreatment, neglect and/or abuse. Participates in interdisciplinary team or other program/staff meetings and reviews communication, shift or other logs to receive updates and information relating to treatment plans, program operations and youth supported, including admissions and discharges and regularly provides feedback and information to other members of the team to support stabilization of youth supported. Identifies and reports maintenance, upkeep and/or safety concerns to Program Supervisor or appropriate designee. Completes and maintains all necessary trainings and/or certifications, including specialized trainings such as TCI, to ensure compliance with YAI policies and all applicable rules or regulations and applies skills. Provides coverage for other Therapeutic Youth Support Staff as requested, which may include assisting at an off-site location (e.g. hospital) based on needs of program and/or youth supported and/or remaining on shift to ensure maintenance of minimum coverage levels for program. May be required to operate YAI motor vehicle to transport youth to and/or from residence, school, appointments or other locations in the community on a regular basis, with appropriate credentials. Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA) and cooperates with appropriate entities in any inspection, inquiry or investigation. Performs all other duties, as assigned. Minimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) Must be at least 18 years of age. Bachelor’s degree in a human services field; or High School Diploma or its educational equivalent and two (2) years of experience serving individuals with mental or behavioral health needs and/or individuals in crisis; or Satisfactory equivalent combination of education, experience and/or training. Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Individual Service Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff, which may include running. Effective written and oral communication skills, including the ability to appropriately document services provided for billing and tracking purposes. Commitment to maintaining the highest levels of ethical standards and integrity and enthusiasm for working with children. Willingness to take initiative and ability to demonstrate positivity, patience, empathy and compassion while supporting youth who are in crisis and to effectively self-regulate emotions in stressful situations. Ability and willingness to assist with a variety of supports and ADLs as requested, which may include exposure to and/or handling of bodily fluids. Basic computer skills, including email, utilizing Workday and related electronic medical record and/or other documentation systems to complete tasks. Must hold or obtain and maintain or complete all program-specific trainings and/or certifications in accordance with individualized needs, conditions and/or OMH regulations, as assigned by supervisor. Ability to develop and maintain effective and appropriate relationships with youth supported, in alignment with YAI’s mission and vision. Ability to remain calm and to exercise good judgment and problem-solving ability during unanticipated challenges that relate to safety and security issues. Ability to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized. Preferred Qualification Requirements (desired requirements beyond MQRs above) Valid Driver’s License Familiarity with behavioral/mental health diagnoses Experience working with children in crisis or with mental/behavioral health needs and/or in a residential services setting Compensation: $22.00 hourly All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. Key/Essential Functions & Responsibilities Responsible for the overall supervision, protection and care of youth supported at all times, including maintenance of program guidelines for the protection of individuals, facilitating learning and training in fire safety and identifying and appropriately escalating signs of an individual’s potential harm to self or others. Provides all services in accordance with agency philosophy and department practices and in compliance with Federal, State, Local and regulatory requirements, specifically NYS Office of Mental Health (OMH) and escalates concerns or questions to supervisor. Supports children in attaining their own unique, behavioral, emotional, intellectual and developmental gains, interacting and intervening as prescribed by individual treatment plans by teaching and fostering skill development, supporting and maximizing strengths, interests and abilities and displaying patience and tolerance while providing therapeutic support to facilitate returns to their homes. Develops an understanding of specific needs of children during their stays, providing support in a variety of settings and in accordance with each youth’s individualized service plan, developing and maintaining appropriate and positive relationships by demonstrating proper social boundaries, actively involving youth in all facets of programming and displaying supportive demeanor and an unconditional positive regard for the youth. Ensures health, wellness and safety of the youth we support by maintaining a physically and emotionally safe, secure, organized and clean therapeutic environment, which includes performing regular laundry and cleaning duties, as needed, providing appropriate supervision and managing crisis situations while adhering to applicable policies, procedures and regulations. Utilizes appropriate therapeutic crisis intervention deescalation techniques and/or prescribed interventions (proximity, time and space, caring gestures, etc.), responding timely and appropriately to redirect or prompt youth experiencing stress and/or self-injurious behavior. Ensures the needs of the youth supported are met by adhering to person-centered individualized plans, supporting therapeutic interventions and activities, encouraging socialization and stabilization and reporting any changes in behavior or other signs and symptoms to clinical and/or leadership team. Assists with a variety of tasks for youth we support, ensuring adherence to applicable and/or mandatory activity schedules as appropriate/authorized, including: Providing or supporting personal care, such as laundry and housekeeping. Assisting with other activities of daily living (ADLs), which may include intimate care or personal hygiene. Observing to ensure that medication is taken as prescribed. Assisting with homework or other remote learning educational activities. Teaching/developing skills. Assisting in communication, self-expression and resolving disputes amongst youth. Providing supervision for and/or planning and preparing balanced meals and snacks in accordance with dietary restrictions and guidelines of modified diets. Transporting and escorting youth on recreational activities, medical appointments and/or to other mandatory activities, such as school, etc. Utilizes safe and appropriate handing procedures when working with youth and implements infection control protocols. Understands behavior as communication and employs person-centered thinking to support positive interactions and prevent further escalation. Collects, records and summarizes data regarding youth supported including charting where prescribed by treatment plan and responses to therapeutic interventions, behaviors, signs, symptoms, setting events, triggers and effective interventions in accordance with all applicable requirements. Completes all paperwork and written records related to individual treatment in appropriate formats, including but not limited to medical and medication management and monitoring, treatment records, progress, behavior and incident reports, data collection, billing records, charting and daily notes accurately, timely and in compliance with all relevant laws, rules and/or regulations. Appropriately documents all interactions with any external entity regarding youth supported, including families and reports errors, incidents or emergencies in compliance with all applicable requirements, including reporting incidents of child maltreatment, neglect and/or abuse. Participates in interdisciplinary team or other program/staff meetings and reviews communication, shift or other logs to receive updates and information relating to treatment plans, program operations and youth supported, including admissions and discharges and regularly provides feedback and information to other members of the team to support stabilization of youth supported. Identifies and reports maintenance, upkeep and/or safety concerns to Program Supervisor or appropriate designee. Completes and maintains all necessary trainings and/or certifications, including specialized trainings such as TCI, to ensure compliance with YAI policies and all applicable rules or regulations and applies skills. Provides coverage for other Therapeutic Youth Support Staff as requested, which may include assisting at an off-site location (e.g. hospital) based on needs of program and/or youth supported and/or remaining on shift to ensure maintenance of minimum coverage levels for program. May be required to operate YAI motor vehicle to transport youth to and/or from residence, school, appointments or other locations in the community on a regular basis, with appropriate credentials. Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA) and cooperates with appropriate entities in any inspection, inquiry or investigation. Performs all other duties, as assigned. Minimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) Must be at least 18 years of age. Bachelor’s degree in a human services field; or High School Diploma or its educational equivalent and two (2) years of experience serving individuals with mental or behavioral health needs and/or individuals in crisis; or Satisfactory equivalent combination of education, experience and/or training. Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Individual Service Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff, which may include running. Effective written and oral communication skills, including the ability to appropriately document services provided for billing and tracking purposes. Commitment to maintaining the highest levels of ethical standards and integrity and enthusiasm for working with children. Willingness to take initiative and ability to demonstrate positivity, patience, empathy and compassion while supporting youth who are in crisis and to effectively self-regulate emotions in stressful situations. Ability and willingness to assist with a variety of supports and ADLs as requested, which may include exposure to and/or handling of bodily fluids. Basic computer skills, including email, utilizing Workday and related electronic medical record and/or other documentation systems to complete tasks. Must hold or obtain and maintain or complete all program-specific trainings and/or certifications in accordance with individualized needs, conditions and/or OMH regulations, as assigned by supervisor. Ability to develop and maintain effective and appropriate relationships with youth supported, in alignment with YAI’s mission and vision. Ability to remain calm and to exercise good judgment and problem-solving ability during unanticipated challenges that relate to safety and security issues. Ability to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized. Preferred Qualification Requirements (desired requirements beyond MQRs above) Valid Driver’s License Familiarity with behavioral/mental health diagnoses Experience working with children in crisis or with mental/behavioral health needs and/or in a residential services setting Compensation: $22.00 hourly All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n \n 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. \n \n \n What You’ll Do: \n \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Our client is looking to add an Automation Engineer II with hands-on experience developing PLC and SCADA applications for industrial process equipment to their team. This role involves programming control systems from the ground up, troubleshooting hardware and instrumentation, testing and commissioning systems, and providing technical support to customers. The ideal candidate is comfortable managing multiple projects and working directly with customers. \n \n Key Responsibilities \n\n • Develop, program, test, and commission Allen-Bradley PLC applications using Rockwell RSLogix software.\n, • Develop, program, test, and commission SCADA applications using Wonderware and/or GE iFIX.\n, • Configure databases, data exchanges, recipes, reporting tools, and other control system functions.\n, • Specify, configure, and troubleshoot control system hardware and instrumentation.\n, • Develop and review control system documentation, specifications, and engineering drawings.\n, • Configure and test computers, software, thin clients, and virtualization systems.\n, • Support project planning, schedules, budgets, and technical requirements.\n, • Provide commissioning, customer training, validation, warranty, and troubleshooting support at customer sites.\n, • Collaborate with internal teams, equipment manufacturers, vendors, and customers to deliver quality automation solutions.\n, • Assist the Sales Department with technical specifications, customer visits, and quotations.\n, • Maintain knowledge of current automation technologies, hardware, software, and industry standards.\n\n \n Required Qualifications \n\n • Bachelor's degree in Engineering, Computer Science, Engineering Technology, or a related field.\n, • At least four years of control system design and programming experience.\n, • Recent, hands-on experience developing Allen-Bradley PLC applications using ControlLogix and/or PLC-5 with RSLogix.\n, • Recent, hands-on experience developing SCADA applications using Wonderware and/or GE iFIX.\n, • Experience troubleshooting control systems, hardware, and instrumentation.\n, • Strong problem-solving, communication, and organizational skills.\n, • Ability to manage multiple projects and work effectively with customers and internal teams.\n, • Valid driver's license and willingness to complete confined-space entry training.\n\n \n Preferred Qualifications \n\n • Experience with cGMP environments and validation.\n, • Experience with SQL databases, reporting tools, and virtualization technologies.\n\n \n Travel \n Approximately 10% overnight travel to customer sites.

Our client is looking to add an Automation Engineer I with hands-on experience developing PLC and SCADA applications for industrial process equipment to their team. This role involves programming control systems from the ground up, troubleshooting hardware and instrumentation, testing and commissioning systems, and providing technical support to customers. The ideal candidate is comfortable managing multiple projects and working directly with customers. \n \n Key Responsibilities \n\n • Develop, program, test, and commission Allen-Bradley PLC applications using Rockwell RSLogix software.\n, • Develop, program, test, and commission SCADA applications using Wonderware and/or GE iFIX.\n, • Configure databases, data exchanges, recipes, reporting tools, and other control system functions.\n, • Specify, configure, and troubleshoot control system hardware and instrumentation.\n, • Develop and review control system documentation, specifications, and engineering drawings.\n, • Configure and test computers, software, thin clients, and virtualization systems.\n, • Support project planning, schedules, budgets, and technical requirements.\n, • Provide commissioning, customer training, validation, warranty, and troubleshooting support at customer sites.\n, • Collaborate with internal teams, equipment manufacturers, vendors, and customers to deliver quality automation solutions.\n, • Assist the Sales Department with technical specifications, customer visits, and quotations.\n, • Maintain knowledge of current automation technologies, hardware, software, and industry standards.\n\n \n Required Qualifications \n\n • Bachelor's degree in Engineering, Computer Science, Engineering Technology, or a related field.\n, • At least three years of control system design and programming experience.\n, • Recent, hands-on experience developing Allen-Bradley PLC applications using ControlLogix and/or PLC-5 with RSLogix.\n, • Recent, hands-on experience developing SCADA applications using Wonderware and/or GE iFIX.\n, • Experience troubleshooting control systems, hardware, and instrumentation.\n, • Strong problem-solving, communication, and organizational skills.\n, • Ability to manage multiple projects and work effectively with customers and internal teams.\n, • Valid driver's license and willingness to complete confined-space entry training.\n\n \n Preferred Qualifications \n\n • Experience with cGMP environments and validation.\n, • Experience with SQL databases, reporting tools, and virtualization technologies.\n\n \n Travel \n Approximately 10% overnight travel to customer sites.

AI Engineer 5\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description Job Description Job Title: Controls Technician/ Electrician Company Information Our company was established in 1984 as an HVAC service company. We have grown into one of the largest mechanical contractors in NJ servicing large commercial and industrial buildings consisting of chiller plants, built-up penthouses and large HVAC equipment. We believe all customer interactions should be executed with the highest level of professionalism, excellence and competency at all levels of the organization. Minimum Requirements Experienced controls technician with a minimum of 5 years experience with a strong background in installation, commissioning, troubleshooting, repairing and maintaining building automation control systems and devices. Applicant must be able to follow wiring diagrams and engineering specifications to install and troubleshoot. Responsibilities: • Low voltage wiring, installation, termination of building automation controllers and end-devices., • Testing, commissioning and calibration of sensors, valves, dampers, etc., • Troubleshooting and programming of VFD’s., • Programming of application specific controls such as VAV boxes and fan coils., • Installation of MSTP and IP networks., • Be part of the on-call rotation, • Provide onsite installation and repair of controls systems Experience preferred in the following: • Tridium Jace, • Johnson FX, • BACnet IP, MSTP networks, • RTU, Chiller Plants, Boilers VAV boxes sequence of operations, • Microsoft Visio Required skills and strengths: • Valid drivers license, • HVAC building automation knowledge, • Must be able to perform the physical requirement of the job, • Basic computer skills of Excel, Word, and Outlook., • Five years experience with the installation and troubleshooting of building automations systems, • Communication skills (oral and writing), • Able to read wiring diagrams and engineers drawings, • Able to work in a fast-paced environment, • Able to multi-task and focus amid distractions, • Good listener and a team player, • Detail oriented, • Organized, flexible and follow directions, • Able to work overtime when needed, • Work independently Job Type: Full-time

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description Senior Help Desk Technician Employment Type: Full Time Department: Help Desk CGS seeks a Senior Help Desk Technician to fulfill the requirements of Level 1 & 2 Help Desk (PC Assist) support services to end users consisting of senior management, attorneys, support staff, contractors, and associated systems for the Executive Office for the United States Attorneys (EOUSA). CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Backup/Restoration admin/support - File Server support - User Account/Mailbox administration - Software/Hardware installation - Handheld device installation/troubleshooting/support - Remote User setup/support/troubleshooting - End-user training - Creation of procedural documentation - Creation of spreadsheets/databases for tracking purposes - Record and update required information for all IT-related tickets utilizing ITIL - Creation of Incident work-log entries - Accurately answer user support questions of software and hardware in the EOUSA office environment - Maintain Account Management forms for new and departed users per Government policy and procedures - Produce proactive reports, trending analysis, service level reporting, process consultation and application of ITIL best practices - Conduct and maintain accountable IT inventories such as laptops, desktops, tablet PCs, printers, MFPs’ accessories, IT supplies, etc. using spreadsheets - Provide desk-side training for new employees and staff, consisting of basic instructions on accessing and using standard desktop applications (e.g. e-Mail, Microsoft Office, etc) and how to access available research database applications - Submit weekly status reports and monthly surveys - Set up and support conference and training rooms for presentations including, audio systems, video systems, A/V distribution systems, computer hardware and software, control programming, microphones, amplifiers, encrypted wireless microphone systems, digital recording and computer/video interface - Utilize online meeting applications such as Adobe Connect to support hardware set-up of microphones and webcams, set-up operations for audio mixing boards and facilitate/monitor/record online meeting sessions Qualifications: - One year or more Adobe Connect or related online meeting center set-up experience. Non-Required, advantageous additional knowledge, experience, or competency considered favorable assets shall include: - ITIL Foundations certification - Change Management experience - Active DOD clearance of Level 6 Public Trust or above Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Entry IT Support Specialist We are seeking an Entry IT Support Specialist to help maintain and troubleshoot the company's technical systems and support smooth day-to-day IT operations. This is an entry-level role: you will start with hands-on IT support and equipment management, and grow into more advanced work over time. We actively use AI tools in our daily work, so comfort with AI assistants is part of the job from day one. Who Thrives in This Role: You like being the person others come to when something stops working. In a given week, you might set up a new hire's laptop, sort out a printer problem, add someone to a Google Group, tidy up the asset list, and work out how an AI assistant can take a repetitive task off a colleague's plate. You try new tools on your own before anyone asks you to, and you would rather ask a question than guess. When something lands on your desk, you stay with it until it is closed — and you tell people where it stands before they have to ask. This role is probably not for you if you want a narrow, well-defined ticket queue with no interruptions. Responsibility Areas: • Provide first-line IT support for hardware, software, and network issues (laptops, desktops, printers, peripherals), and resolve support tickets within SLA guidelines., • Track and manage the inventory of IT equipment and assets (monitors, computers, peripherals), including setup, upgrades, and replacements., • Administer and troubleshoot the Google Workspace environment (Gmail, Drive, Sheets, Groups) at the account and user level., • Maintain and update troubleshooting documentation for common issues, and assist with routine system maintenance, security updates, and backup/recovery procedures., • Help maintain reporting dashboards in Google Data Studio (simple edits such as adding or adjusting tables and fields)., • Leverage AI assistants (e.g., Claude, ChatGPT, Gemini) to speed up troubleshooting, documentation, and scripting, and collaborate with the IT team to improve support workflows. Growth Path: As you build experience, you will grow into more advanced responsibilities, including maintaining and enhancing our in-house ERP system (built with TypeScript and React), developing internal automation and tools, and expanding our reporting and data pipelines. Minimum Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • 0 to 1+ years of experience in IT support or a similar role (entry-level candidates welcome)., • Proficiency in troubleshooting hardware and software issues across Windows and macOS., • Working knowledge of Google Workspace and basic networking concepts (LAN/WAN, VPN, firewalls)., • Familiarity with at least one programming language (JavaScript/TypeScript, Python, or Java); JavaScript/TypeScript is a plus., • Comfortable using AI assistants (e.g., Claude, ChatGPT) in daily work for drafting, debugging, and problem-solving., • Patient and approachable, willing to explain the same thing more than once, and clear in both spoken and written communication., • Ability to get up to speed on unfamiliar tools without step-by-step direction, and to own a request from intake to closure — keeping the requester informed and escalating clearly when needed., • Bilingual proficiency in English and Korean — you will support colleagues who are more comfortable in one or the other, and you can explain a technical fix plainly in both., • Willingness and flexibility to take on a broad range of IT-related and general support tasks as needed, including hands-on and ad-hoc duties. Preferred Qualifications: • Exposure to AI coding-assistant CLIs (e.g., Claude Code, Codex, Gemini CLI) and structured prompt design., • Exposure to GCP (Google Cloud Platform) and basic database concepts (MySQL, PostgreSQL)., • Experience with TypeScript, React, or Next.js., • Experience building dashboards in Google Data Studio or similar BI tools., • Interest in logistics, supply chain, or manufacturing environments., • Relevant certifications (CompTIA A+, Google IT Support, etc.). Work Hours: Full-Time (Monday – Friday, 8:30 AM – 5:30 PM) Benefits: At USP, we believe great work deserves great support. Our benefits are designed to promote your health, growth, and well-being: • Comprehensive medical, dental, and vision insurance, • Paid vacation, sick leave, and company holidays, • Performance-based bonus opportunities, • Employee recognition and years-of-service awards, • Education and professional development reimbursement, • Daily meal allowance, • Company-sponsored team lunches and dinners, • Fitness membership reimbursement, • Company-sponsored team-building and recreational activities, • Employee birthday gifts USP is an Equal Opportunity/Affirmative Action Employer — M/F/Disabled/Vets. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionDescription: This position supports the work of the Y, a leading nonprofit committed to strengthening community through youth development, healthy living and social responsibility. Provides direct supervision of a group of children in Computer Lab classes. The Specialist shall design and deliver a program specialty in their designated area tailored to the skills and interests of each age group. They will work with other Y employees to bring about quality programming in that specialty area. Activities should nurture creativity, cooperation, skill and self-esteem and support the potential of all youth in programs and facilitate peer-to-peer connections as part of the overall program experience. ESSENTIAL FUNCTIONS: • Plan, setup and deliver a variety of activities within specialty areas (3D Printing, Modeling, Coding, Stop Motion) that are age specific and that keep children’s interests high., • Instruct Assistants on how to teach activities within specialty if assistance is needed., • Lead specialty activities/classes each program day., • Control all supply inventory used in specialty. Keep supply storage area neat and organized. Maintain computer lab and provide routine maintenance of equipment., • Greet participants with a smile and treat them with enthusiasm., • Learn participants' names. Respond to participant needs., • Encourage participants’ youth development progress. As a leader, set a good example for the children. Teach participants how to solve problems and maintain basic discipline and group control., • Ensure that all volunteers have a great experience to help our association increase volunteer participation., • Develop positive relationships with member families and learn why they come to our Y., • Help group maintain program area cleanliness., • Perform all responsibilities in an enthusiastic and committed manner., • Take the initiative to be actively participatory in all activities., • Act as needed when not leading a specialty program.Safety:, • Must attend and complete all required trainings., • At all times, uphold safety standards. Maintain constant face counts. Will understand and practice risk management and disaster policies and procedures., • Help maintain group control and facilitate activities., • Follow all YMCA and NJ Licensing standards and procedures to ensure the safest and best quality program., • Secure and submit all accident reports, special plans, schedule changes, and evaluations to Director when appropriate., • Report all immediate concerns to Director or nearest supervisor., • Use two methods of discipline with participants to include redirection to appropriate activities and using positive reinforcement to commend good choices.OTHER DUTIES:, • Always maintain a professional demeanor, as you are a representative of the YMCA., • Wear Y T-shirt or designated attire daily., • Maintain positive attitude, responsibility and self-motivation. Be punctual and reliable., • Create a positive and nurturing learning environment to instill youth development, healthy living, and social responsibility.Requirements: QUALIFICATIONS: • High School Diploma or GED required., • Experience working with 3D Printers and software, Coding software, Adobe Creative Suite., • Previous experience working with children., • Interest and experience in area of specialty., • At least 18 years of age., • Previous experience with diverse populations preferred.PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Must be capable of being on your feet for long periods and be able to actively supervise children in a variety of indoor and outdoor environments., • Must be capable of bending, kneeling, squatting and lifting 30 pounds., • Must be able to visually account for all children in the program, whether inside or outside. Must be able to hear whistle or alarms. Clear speaking voice is needed to command control of group.

Job DescriptionJob Description: I came across your background and wanted to reach out regarding a full-time opportunity for a Lead Embedded Software Engineer (Technical Lead). This role is ideal for professionals with strong experience in embedded software development and technical leadership within complex engineering environments. Key Skills & Experience: • 10+ years of embedded software development, • Modern C++ programming, • Real-Time Operating Systems (RTOS) such as VxWorks or Green Hills Integrity, • Hardware/Software Integration and Debugging, • Object-Oriented Design and UML (IBM Rhapsody, Cameo, or MagicDraw), • Technical leadership, project planning, and software development lifecycle (SDLC), • Experience with EVMS is a plus, • Active DoD Secret Clearance and U.S. Citizenship are required Education: • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

Job DescriptionJCFPL JOB TITLE: Computer Learning Resource Center Specialist LOCATION: Miller Branch REPORTS TO: South Regional Manager CIVIL SERVICE JOB TITLE: Program Specialist 2 STARTING SALARY RANGE: $65,834 - $70,782 per year FULL-TIME/PART-TIME: Full-Time WORKWEEK: 9:00 a.m. to 8:00 p.m. (35 hours/week). May be required to work evenings and weekends as needed. APPLICATION DEADLINE: September 17, 2026 BENEFIT SUMMARY: This summary outlines the general benefits available to library employees, designed to support their health, financial security, and work-life balance. Benefits available to Full-Time Employees: Medical coverage 60 days from the first day of employment, Prescription coverage is the first of the month following 60 days of employment at no cost to the employee and additional cost per each dependent added. Dental coverage is provided at no cost 60 days after the first day of employment. Vision coverage is provided at no cost and reimbursed at $250.00 per year. Additional Full-Time benefits include Life & AD&D insurance, 403(b), participation in a pension plan (dependent on age at the time of hire date). A more detailed summary can be found on our Employment Opportunities page located at www.jclibrary.org. JCFPL is the largest municipal library in the State of New Jersey, with ten locations and growing, and a collection comprising over 2.5 million print and digital items. Our staff of nearly 120 dedicated individuals serves the residents, students, and workers of Jersey City: the largest city in Hudson County, N.J., and the second-largest city in New Jersey. The staff of JCFPL reflects the cultural and linguistic diversity of Jersey City, which is consistently ranked as the most diverse community in the United States. Collectively, our staff speaks over 16 languages, including English, Spanish, Arabic, Hindi, Tagalog, Gujarati, Marathi, Igbo, Portuguese, and others. JCFPL is committed to building on our strong foundation and expanding our ability to meet the needs of Jersey City’s growing and increasingly diverse community. ABOUT THE ROLE: Under general supervision, the Computer Learning Resource Center Specialist is responsible for the planning, coordination, and delivery of technology-based educational services at the Miller Branch Computer Learning Resource Center. The incumbent provides ongoing software and digital literacy training, manages technology resources, conducts data-driven outreach, and develops community partnerships that expand access to services and support revenue-generating programming. This position requires professional-level technical knowledge, instructional expertise, analytical skills, and strong community engagement capacity. JOB DUTIES: • Develop and deliver ongoing instructional programs in computer literacy, productivity software, cloud-based platforms, and emerging digital tools., • Conduct individual and group training sessions for patrons, staff, and partner organizations., • Maintain professional competency through continuous training in evolving software applications and technologies., • Researches funding sources, develops and reviews grant applications, and writes proposals; negotiates and monitors contracts or grants., • Coordinate daily operations of the Computer Learning Resource Center., • Monitor and maintain computer hardware, software, and peripheral equipment., • Ensure compliance with library technology policies and security standards., • Provide technical assistance and basic troubleshooting support., • Collect, analyze, and interpret data related to program attendance, community usage, and service outcomes., • Prepare administrative, statistical, and evaluative reports., • Conduct data-driven outreach in surrounding neighborhoods and service areas., • Establish partnerships with educational institutions, workforce agencies, nonprofit organizations, and community groups., • Promote use of the Computer Learning Resource Center as a training and professional development venue., • Assist in developing collaborative programs and service models that generate revenue through agency and organizational partnerships., • Support grant-funded and fee-based initiatives in coordination with administration., • Monitor participation, outcomes, and financial performance of programs., • Conducts surveys or other studies to help identify program needs., • Provide technical guidance and training to branch staff., • Participate in system-wide technology initiatives., • Collaborate with librarians and administrators to integrate technology services into library programming., • Prepares charts, tables and/or other graphic representations needed for the planning, operation and implementation of program activities., • Maintain accurate records of trainings, equipment, partnerships, and expenditures., • Attend required meetings, trainings and professional development sessions., • Represent the Library in a professional manner in community and partner settings., • Maintains essential records, reports and files., • Perform other duties as assigned REQUIRED EXPERIENCE/EDUCATION: NOTE: Applicants must meet one of the following or a combination of both experience and education. Thirty (30) semester hour credits are equal to one (1) year of relevant experience. • Six (6) years of professional experience in planning, monitoring, coordinating, implementing, modifying, and/or evaluating agency programs and services.OR, • Possession of a bachelor's degree from an accredited college or university; and two (2) years of the above-mentioned professional experience.OR, • Possession of a master's degree from an accredited college or university in a discipline appropriate to the position; and one (1) year of the above-mentioned professional experience. ADDITIONAL RELEVANT SKILLS: • Knowledge of library administration and management techniques., • Ability to manage and administer a library program., • Ability to analyze, comprehend, and utilize approved public library standards, methods, techniques, budgeting systems, classification and pay plans., • Knowledge of Jersey City’s population, geography, and/or local government., • Facility in a non-English language spoken in Jersey City (such as Spanish, Hindi, Arabic, Tagalog, etc.). NOTES: For all employees, regardless of full-time or part-time status, JCFPL is considered the primary employer. Work hours are assigned according to the Library’s operational needs. Work hours are not scheduled to accommodate employees’ other employment, academic, or other outside obligations, except in circumstances agreed upon in writing by the employee and the employee’s supervisor. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required for the employee for this job. The omission of specific statements of duties does not exclude them from the position if work is similar, related, or a logical assignment to the position. This job description is associated with a N.J. Civil Service job title; the New Jersey Civil Service Commission requires all incumbents to possess and be prepared to verify the minimum experience and skills required for the associated Civil Service job title. This vacancy is associated with a New Jersey Civil Service job title. The New Jersey Civil Service Commission requires all incumbents to possess and be prepared to verify the minimum experience and skills required for the associated Civil Service job title. This position is subject to residency requirements as set forth in the New Jersey First Act and not available for work visa sponsorship. 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Job Description Senior Help Desk Technician II Employment Type: Full Time Department: Help Desk CGS seeks a Senior Help Desk Technician to fulfill the requirements of Level 1 & 2 Help Desk (PC Assist) support services to end users consisting of senior management, attorneys, support staff, contractors, and associated systems for the Executive Office for the United States Attorneys (EOUSA). CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Backup/Restoration admin/support - File Server support - User Account/Mailbox administration - Software/Hardware installation - Handheld device installation/troubleshooting/support - Remote User setup/support/troubleshooting - End-user training - Creation of procedural documentation - Creation of spreadsheets/databases for tracking purposes - Record and update required information for all IT-related tickets utilizing ITIL - Creation of Incident work-log entries - Accurately answer user support questions of software and hardware in the EOUSA office environment - Maintain Account Management forms for new and departed users per Government policy and procedures - Produce proactive reports, trending analysis, service level reporting, process consultation and application of ITIL best practices - Conduct and maintain accountable IT inventories such as laptops, desktops, tablet PCs, printers, MFPs’ accessories, IT supplies, etc. using spreadsheets - Provide desk-side training for new employees and staff, consisting of basic instructions on accessing and using standard desktop applications (e.g. e-Mail, Microsoft Office, etc) and how to access available research database applications - Submit weekly status reports and monthly surveys - Set up and support conference and training rooms for presentations including, audio systems, video systems, A/V distribution systems, computer hardware and software, control programming, microphones, amplifiers, encrypted wireless microphone systems, digital recording and computer/video interface - Utilize online meeting applications such as Adobe Connect to support hardware set-up of microphones and webcams, set-up operations for audio mixing boards and facilitate/monitor/record online meeting sessions Qualifications: - One year or more Adobe Connect or related online meeting center set-up experience. Non-Required, advantageous additional knowledge, experience, or competency considered favorable assets shall include: - ITIL Foundations certification - Change Management experience - Active DOD clearance of Level 6 Public Trust or above Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Apply Here: https://secure.onehcm.com/ta/VRCNY.jobs?ShowJob=553797904&TrackId=ZipRecruiter Pay: $110,000.00 - $120,000.00 per year Job description: Vitreoretinal Consultants, one of the largest providers of the Retina subspecialty within Ophthalmology is seeking an IT Technician to work in our NY offices. In this role, you will be an important part of the team whose job is to support the IT Manager in the delivery of exceptional retina care to our patients. This position requires dedicated individuals who enjoy working with staff and doctors. You will also be required to travel to our other locations in Great Neck, Westbury, Riverhead, Rockville Center, Hauppauge, Flushing, Scarsdale, Elmhurst and New City. To learn more about our business visit. https://www.vrcny.com/ This FT position is 95% IT and 5% Facilities management. The individual will work as a team member with our current IT and Facilities managers. Skills required: • Strong computer server maintenance experience, • The applicant MUST have a current Microsoft Certification as well as a current VM Ware certification., • Expert knowledge of IT best practices, policies, and regulations, • Willing to train staff, • In-depth understanding of programming, computer science and digital security, • A clear understanding of client/server technology and network architecture, • Good communication, including writing, speaking and active listening, • Strong problem-solving, critical thinking and decision-making skills, • Customer service and interpersonal skills, • Excellent attention to detail, • Great project management skills, including organization, planning, time management and prioritization., • Basic handyman skills IT Technician duties and responsibilities: The IT Technician is responsible for several different tasks related to overseeing a company’s computer networks and improving the company’s network systems. Some of their daily responsibilities include: • Developing new network troubleshooting strategies to help reduce downtime and decrease maintenance costs., • Creating rational strategies for upgrading the company’s network software whenever a new update is available, • Constructing and implementing plans to ensure the company’s network continues to operate smoothly in the event of a problem, • Staying up to date with new network technology and reporting this information to the executive team each quarter, • Working closely with other department Managers to assess the growth needs and maintenance of the company’s network, • Run cables as needed, • Work with our software vendor ensuring servers are fully operating for all locations, troubleshoot and fix any downtime outages, • Create all employee network log ins and door access, • Monitor employee internet usage, • Assist the compliance officer to ensure SRA are performed yearly, • In charge of purchasing and installing all equipment and computer set-ups for employees and physicians, • Participation in the annual budget process, produce spreadsheets of needed medical and computer equipment Facilities Assistance Responsibilities • Facility and Alarm system monitoring, alert CEO, CFO and/or Practice Administrator of any alerts, • Equipment inventory management, • Assist in Price shopping for new equipment, • Equipment problem trouble shooting, • Equipment installation, • Phone and Printer systems management Job Type: Full-time Pay: $110,000.00 - $120,000.00 per year Benefits: • 401(k), • Health insurance, • Dental insurance, • Vision coverage, • PTO Experience level: • 2 years Schedule: • 8 hour shift Education: • Bachelor's (Preferred) Experience: • Maintenance: 1 year (Preferred) License/Certification: • Driver's License (Required), • Reliable car (Required) Ability to Relocate: • Must be willing to work out of our Westbury office and travel to our other NY offices as needed. Job Type: Full-time Benefits: • 401(k), • Dental insurance, • Health insurance, • Paid time off, • Vision insurance Education: • Bachelor's License/Certification: • Driver's License (Required), • VMware Certification (Required), • Microsoft Certified: Azure Data Engineer Associate (Required), • Microsoft Office Specialist (Required) Ability to Relocate: • Westbury, NY: Relocate before starting work (Required) Work Location: In person

Job Description IT Help Desk Technician I Full-Time, Non-Exempt · New York, NY · Reports to: Director, Digital Projects ABOUT JAZZ AT LINCOLN CENTER The mission of Jazz at Lincoln Center is to entertain, enrich and expand a global community for jazz through performance, education, and advocacy. We believe jazz is a metaphor for Democracy. Because jazz is improvisational, it celebrates personal freedom and encourages individual expression. Because jazz is swinging, it dedicates that freedom to finding and maintaining common ground with others. Because jazz is rooted in the blues, it inspires us to face adversity with persistent optimism. Jazz is one of America’s most profound and enduring cultural contributions, inseparable from the story of this country, its history, its struggles, its democratic ideals, and its continuing evolution. We are stewards of that legacy. The three pillars of our work—performance, education, and advocacy—are one mission expressed three ways, each reinforcing and requiring the other two. You cannot perform without honoring the history that gives the music meaning. You cannot educate without the conviction that what you are teaching deserves to outlast you. You cannot advocate without the lived experience of the art itself. We look for people who feel that wholeness in full, across all three pillars. POSITION DESCRIPTION The IT Help Desk Technician I serves as the first point of contact for employees requiring technical assistance and is responsible for providing timely, professional, and effective support for day-to-day technology needs. The position provides frontline support for computer hardware, software, user accounts, network connectivity, printers, mobile devices, audiovisual equipment, and other technology used throughout the organization. The IT Help Desk Technician I receives, documents, troubleshoots, and resolves technical issues using established procedures, available support resources, and independent troubleshooting. The Technician is expected to take ownership of support requests through resolution whenever possible and to research and troubleshoot unfamiliar issues within the scope of the position. When an issue requires specialized expertise, elevated administrative access, vendor intervention, or changes to core systems or infrastructure, the Technician will escalate the issue to the appropriate resource, including the Network Administrator, SaaS support resources, or Director of Information Technology. The Technician is responsible for ensuring that relevant troubleshooting, user impact, and supporting information are documented and communicated as part of the escalation. The IT Help Desk Technician I also supports employee onboarding and offboarding, workstation deployment, user account administration, software installation, endpoint maintenance, routine system administration, and technology upgrades. The position participates in and executes approved maintenance procedures, including software updates, patches, system upgrades, and other scheduled Technology activities. KEY RESPONSIBILITIES • Serve as the first point of contact for Technology support requests received through the help desk system, email, phone, or in person, ensuring requests are acknowledged, prioritized, and accurately documented., • Take ownership of support requests through resolution whenever possible, performing appropriate troubleshooting, research, testing, and follow-up., • Diagnose and resolve hardware, software, operating system, application, printing, account access, connectivity, peripheral, and other common end-user technology issues., • Provide support for common user issues including password resets, account access, software installation, application configuration, Wi-Fi and network connectivity, printers, email, and collaboration tools., • Create, update, prioritize, and maintain support tickets with clear documentation of reported problems, troubleshooting performed, communications with users, and final resolutions., • Escalate issues requiring specialized expertise, elevated administrative access, vendor assistance, or changes to core infrastructure to the appropriate resource, including the Network Administrator, SaaS support resources, or Director of Information Technology., • Ensure escalated issues include clear documentation of the reported problem, user impact, troubleshooting performed, results, and other information necessary for the receiving resource to continue troubleshooting efficiently., • Maintain visibility of escalated tickets as appropriate, communicating status and resolution information to affected users and following up to confirm successful resolution., • Support employee onboarding, offboarding, and role changes, including account provisioning and deactivation, access and permission changes, workstation preparation, software installation, and equipment deployment., • Configure, deploy, maintain, and troubleshoot desktops, laptops, mobile devices, printers, peripherals, conference room technology, and other end-user equipment., • Perform routine user account and access administration according to established authorization, security, and access-control procedures., • Participate in and execute approved maintenance procedures, including operating system and application updates, security patches, software deployments, endpoint configuration changes, and scheduled system upgrades., • Assist with routine system administration and operational Technology tasks according to established procedures, including endpoint management, software deployment, device configuration, account administration, and system monitoring., • Monitor maintenance and deployment activities and escalate failed updates, unexpected behavior, service interruptions, cybersecurity concerns, or other issues requiring additional investigation., • Provide support for conference rooms, audiovisual equipment, video conferencing platforms, presentations, and other meeting technology., • Maintain accurate hardware, software, and equipment records and assist with inventory management and lifecycle tracking of organizational technology assets., • Maintain accurate records within the help desk and asset management systems, including troubleshooting activities, resolutions, equipment assignments, and relevant system changes., • Develop and maintain Technology documentation, standard operating procedures, troubleshooting guides, knowledge base articles, and frequently asked questions to improve support consistency and facilitate efficient resolution of common issues., • Identify recurring technical issues and communicate trends, potential root causes, documentation gaps, and opportunities for process or technology improvements to the Technology team., • Provide clear and professional communication to users throughout the support process and explain technical issues and solutions in language appropriate for non-technical users., • Follow organizational Technology policies and procedures related to cybersecurity, account management, data protection, acceptable use, software installation, equipment handling, and escalation of security-related incidents., • Participate in Technology projects, system deployments, equipment refreshes, upgrades, and other departmental initiatives as assigned. QUALIFICATIONS • Associate’s or Bachelor’s degree in Information Technology, Computer Science, or a related field preferred, or an equivalent combination of education, training, and professional experience., • One to three years of experience providing Help Desk, Desktop Support, Technical Support, or similar end-user technology support preferred., • Working knowledge of Microsoft Windows and macOS operating systems., • Experience supporting Microsoft 365 applications and common workplace productivity and collaboration tools., • Familiarity with user account administration, permissions, password management, and directory services such as Microsoft Active Directory and Microsoft Entra ID., • Basic understanding of networking concepts including TCP/IP, Wi-Fi, DNS, DHCP, VPN, and internet connectivity., • Experience troubleshooting desktops, laptops, printers, mobile devices, peripherals, and common business applications., • Familiarity with help desk/ticketing systems, remote support tools, endpoint management platforms, and IT asset management practices., • Ability to independently troubleshoot and resolve a broad range of end-user technology issues, follow established technical procedures, research unfamiliar problems, and exercise sound judgment regarding when an issue requires escalation or additional expertise., • Strong written and verbal communication skills and the ability to explain technical concepts clearly to users with varying levels of technical knowledge., • Strong organizational skills with the ability to prioritize multiple support requests, manage competing priorities, and maintain accurate documentation., • Demonstrated commitment to customer service, professionalism, discretion, and the responsible handling of confidential information., • Ability to work independently on routine support and operational issues while collaborating effectively with other members of the Technology team, vendors, and support partners on more complex problems., • Ability to adapt to changing priorities and work effectively in a fast-paced environment., • Industry certifications such as CompTIA A+, Microsoft Fundamentals, Apple Device Support, or equivalent certifications are a plus. WORKING AT JAZZ AT LINCOLN CENTER The music is present here, literally and philosophically, and the people who thrive are the ones who feel that and lean into it. They are Fans, Advocates, Musicians, and Educators who know that you cannot shape what comes next without first honoring what came before — who ask why something is the way it is before they presume to know what it should become. They find their own work more meaningful because of its proximity to something larger, and they understand that excellence in any role, regardless of function, is connected to what happens on stage and in classrooms and communities around the world. The passion that runs through this organization can be felt on your first day, and it is the thing people miss most when they leave. We are a live-events organization, and our schedule reflects that energy: we expect full presence when the work and the art call for it. Within that, we strive to create real flexibility for our people. Flex Mondays give staff the freedom to work from wherever suits them best, and Tuesday through Friday our teams come together in person, with the understanding that the work and the art will sometimes ask for more. We trust our people to know the difference, and we build around that trust. Benefits reflect the same investment in our people: comprehensive health, retirement, and a seat inside the life of this organization. Staff have access to the breadth of JALC programming—from live performances to access at Dizzy's Club to world-class jazz education through Swing University and beyond—because we believe the people who do this work deserve to experience it, not just support it. HOW TO APPLY Click the button above to apply. Please include a cover letter and salary requirements with your application. Jazz at Lincoln Center is an equal opportunity employer that affords equal opportunities to all applicants, employees, contractors, and other covered persons, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Jazz at Lincoln Center is committed to creating an inclusive, open, and respectful culture that reflects and embraces diversity.

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Safety and Multimodal)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are experienced in AI red teaming and in deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in AI Safety and LLM safety alignment\n, • Experience with Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Foundations)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job DescriptionSummary: Work Mode: [Remote / On-site / Hybrid – specify] Job Type: Full-time Experience Level: Mid to Senior Level Responsibilities: • Plan, coordinate, execute, and successfully deliver projects within established timelines, budgets, and quality standards., • Develop project plans, define milestones and deliverables, assign responsibilities, manage resources, and monitor project progress., • Communicate regularly with stakeholders, identify potential risks and issues, and develop appropriate mitigation strategies., • Coordinate cross-functional teams and ensure that project objectives are clearly understood and achieved., • Maintain accurate documentation and provide regular status reports to management.Requirements:, • 5 years of professional software development experience., • Proficiency in one or more programming languages (e.g., Java, Python, C#, JavaScript/TypeScript, Go)., • Experience building and consuming RESTful APIs and/or working with microservices architecture., • Strong understanding of computer science fundamentals including data structures, algorithms, and design patterns., • Familiarity with relational and/or NoSQL databases., • Hands-on experience with version control tools (e.g., Git)., • Exposure to agile development methodologies., • Experience with testing practices (unit, integration, and end-to-end testing).Preferred Skills:, • Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes)., • Familiarity with cloud services (e.g., AWS, Azure, GCP)., • Knowledge of CI/CD pipelines and DevOps practices., • Experience with front-end technologies (e.g., React, Angular, Vue.js) if applicable to the role., • Prior involvement in codebase migration, scalability improvements, or system re-architecture.Benefits:, • Full-time role with flexible work options., • Opportunities for professional development and career growth., • Role may involve technical mentorship or leadership responsibilities.