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Department/Unit: AMHS - Clinical Informatics Information Systems & Services Work Shift: Day (United States of America) Salary Range: $86,650.99 - $134,309.04 The Clinical Informatics Nurse utilizes the Tenets of American Nurses Association (ANA) Scope and Standards of practice for Nursing Informatics. The Clinical Informatics Nurse provides expertise in the planning, design, development, training, implementation, communication, maintenance, and evaluation of new or existing functionality related to clinical and business information systems. Working under the direction of the Director of Informatics, CNIO, the Clinical Informatics Nurse integrates nursing/clinical science, computer science, and information science to manage and communicate data, information, knowledge and wisdom in clinical practice. The Clinical Informatics Nurse supports the metaparadigm of nursing through information and data management, and works as a liaison among stakeholders to elicit, analyze, communicate, and validate requirements for changes to processes, workflow, policies, and information systems that support clinical practice and operations. The Clinical Informatics Nurse ensures data/information is current with regulatory agency and evidence-based practice standards and incorporates a unique body of nursing knowledge with clinical information systems. The Clinical Informatics Nurse coordinates the collection and reporting of outcome metrics associated with the clinical information systems. This position serves as an internal consultant to all departments to identify and achieve department and organizational goals and provides direct contact with vendors to ensure customer needs are met. Essential Duties and Responsibilities • Designs and supports systems and manages projects directed at improving quality and patient care outcomes using information technology., • Maintains current knowledge of computer applications used within the organization, evolving technologies, and current patient safety literature to guide system modifications and the pursuit of new clinical technology., • Conducts periodic workflow analysis to optimize the use of technology in patient care., • Provides input on clinical functions that are suitable for computer application and ensures the information systems are consistent with professional standards of nursing practice., • Collaborates with the end user throughout the organization on all computer system related initiatives., • Co-Lead and coordinate user group forums to continuously evaluate and improve system functionality., • Collaborates with Director of Informatics, CNIO, CHIO, CMIO, CNO, Nursing Directors, AVPs and managers, Technology and IT staff on special projects., • Utilizes a unique body of knowledge, preparation, and experience aligning with nursing profession., • Incorporates concepts in applications to role of nursing and nurses in the care continuum., • Coordinates the design and promotion of useful, innovative information technologies that advance practice interoperability and achieve desired outcomes., • Considers the impact of technological changes on patient safety, healthcare delivery, quality reporting, and nursing process., • Participates in organization level and divisional committees and work groups to advance technology and patient care., • Collaborates with Nursing Education department(s) to develop training for system enhancements and implementations., • Provides technical support for training., • Identifies and develops “super-users” to provide training and support to other users in the nursing division., • Communicates initiatives and enhancements for Patient Services, organizationally., • Collaborates with Nursing Leadership and Quality Department(s) staff to design documentation tools and technology interfaces that foster safe and efficient care, and satisfy regulatory and accreditation requirements., • Supports Data analytics and understands that real-time application of information by clinicians is a mechanism to change healthcare delivery and affect patient outcomes., • Identifies and supporting system changes to support improvements in patient care and enhanced workflow and productivity., • Incorporates key ethical concerns such as advocacy, privacy, and assurance of the confidentiality and security of data and information., • Supports decision making of consumers, nurses, and other professionals to achieve safety and advocacy., • Bachelor's Degree in Nursing or related field - required, • 1-3 years of acute-care nursing clinical experience - required, • 1-3 years of Electronic Health Record (EHR) implementation experience (super user, trainer, or implementation project team member) - required, • Strong organization, interpersonal communication and planning skills. (Medium proficiency), • Demonstrated ability to organize and present thoughts logically. (High proficiency), • Ability to work with others to accomplish goals and solve problems. (High proficiency), • Skills in effective project management. (Medium proficiency), • RN - Registered Nurse - State Licensure and/or Compact State Licensure in NYS Upon Hire - required, • INS - Informatics Nurse Specialist within 1-1/2 Yrs - preferred Equivalent combination of relevant education and experience may be substituted as appropriate. Physical Demands • Standing - Constantly, • Walking - Constantly, • Sitting - Rarely, • Lifting - Frequently, • Carrying - Frequently, • Pushing - Occasionally, • Pulling - Occasionally, • Climbing - Occasionally, • Balancing - Occasionally, • Stooping - Frequently, • Kneeling - Frequently, • Crouching - Frequently, • Crawling - Occasionally, • Reaching - Frequently, • Handling - Frequently, • Grasping - Frequently, • Feeling - Constantly, • Talking - Constantly, • Hearing - Constantly, • Repetitive Motions - Constantly, • Extreme cold - Rarely, • Extreme heat - Rarely, • Humidity - Rarely, • Wet - Rarely, • Noise - Constantly, • Hazards - Frequently, • Temperature Change - Rarely, • Atmospheric Conditions - Rarely Albany Medical Center is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Medical Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: AMHS - Clinical Informatics Information Systems & Services Work Shift: Day (United States of America) Salary Range: $86,650.99 - $134,309.04 The Clinical Informatics Nurse utilizes the Tenets of American Nurses Association (ANA) Scope and Standards of practice for Nursing Informatics. The Clinical Informatics Nurse provides expertise in the planning, design, development, training, implementation, communication, maintenance, and evaluation of new or existing functionality related to clinical and business information systems. Working under the direction of the Director of Informatics, CNIO, the Clinical Informatics Nurse integrates nursing/clinical science, computer science, and information science to manage and communicate data, information, knowledge and wisdom in clinical practice. The Clinical Informatics Nurse supports the metaparadigm of nursing through information and data management, and works as a liaison among stakeholders to elicit, analyze, communicate, and validate requirements for changes to processes, workflow, policies, and information systems that support clinical practice and operations. The Clinical Informatics Nurse ensures data/information is current with regulatory agency and evidence-based practice standards and incorporates a unique body of nursing knowledge with clinical information systems. The Clinical Informatics Nurse coordinates the collection and reporting of outcome metrics associated with the clinical information systems. This position serves as an internal consultant to all departments to identify and achieve department and organizational goals and provides direct contact with vendors to ensure customer needs are met. Essential Duties and Responsibilities • Designs and supports systems and manages projects directed at improving quality and patient care outcomes using information technology., • Maintains current knowledge of computer applications used within the organization, evolving technologies, and current patient safety literature to guide system modifications and the pursuit of new clinical technology., • Conducts periodic workflow analysis to optimize the use of technology in patient care., • Provides input on clinical functions that are suitable for computer application and ensures the information systems are consistent with professional standards of nursing practice., • Collaborates with the end user throughout the organization on all computer system related initiatives., • Co-Lead and coordinate user group forums to continuously evaluate and improve system functionality., • Collaborates with Director of Informatics, CNIO, CHIO, CMIO, CNO, Nursing Directors, AVPs and managers, Technology and IT staff on special projects., • Utilizes a unique body of knowledge, preparation, and experience aligning with nursing profession., • Incorporates concepts in applications to role of nursing and nurses in the care continuum., • Coordinates the design and promotion of useful, innovative information technologies that advance practice interoperability and achieve desired outcomes., • Considers the impact of technological changes on patient safety, healthcare delivery, quality reporting, and nursing process., • Participates in organization level and divisional committees and work groups to advance technology and patient care., • Collaborates with Nursing Education department(s) to develop training for system enhancements and implementations., • Provides technical support for training., • Identifies and develops “super-users” to provide training and support to other users in the nursing division., • Communicates initiatives and enhancements for Patient Services, organizationally., • Collaborates with Nursing Leadership and Quality Department(s) staff to design documentation tools and technology interfaces that foster safe and efficient care, and satisfy regulatory and accreditation requirements., • Supports Data analytics and understands that real-time application of information by clinicians is a mechanism to change healthcare delivery and affect patient outcomes., • Identifies and supporting system changes to support improvements in patient care and enhanced workflow and productivity., • Incorporates key ethical concerns such as advocacy, privacy, and assurance of the confidentiality and security of data and information., • Supports decision making of consumers, nurses, and other professionals to achieve safety and advocacy., • Collaborates with Nursing and other disciplines to assure interdisciplinary integration of work processes. Qualifications • Bachelor's Degree in Nursing or related field - required, • 1-3 years of acute-care nursing clinical experience - required, • 1-3 years of Electronic Health Record (EHR) implementation experience (super user, trainer, or implementation project team member) - required, • Strong organization, interpersonal communication and planning skills. (Medium proficiency), • Demonstrated ability to organize and present thoughts logically. (High proficiency), • Ability to work with others to accomplish goals and solve problems. (High proficiency), • Skills in effective project management. (Medium proficiency), • RN - Registered Nurse - State Licensure and/or Compact State Licensure in NYS Upon Hire - required Physical Demands • Standing - Constantly, • Walking - Constantly, • Sitting - Rarely, • Lifting - Frequently, • Carrying - Frequently, • Pushing - Occasionally, • Pulling - Occasionally, • Climbing - Occasionally, • Balancing - Occasionally, • Stooping - Frequently, • Kneeling - Frequently, • Crouching - Frequently, • Crawling - Occasionally, • Reaching - Frequently, • Handling - Frequently, • Grasping - Frequently, • Feeling - Constantly, • Talking - Constantly, • Hearing - Constantly, • Repetitive Motions - Constantly, • Eye/Hand/Foot Coordination - Constantly Working Conditions • Extreme cold - Rarely, • Extreme heat - Rarely, • Humidity - Rarely, • Wet - Rarely, • Noise - Constantly, • Hazards - Frequently, • Temperature Change - Rarely, • Atmospheric Conditions - Rarely, • Vibration - Rarely Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: EmUrgent Care - Guilderland Work Shift: Per Diem (United States of America) Salary Range: $60,367.47 - $90,551.20 Medical Imaging Tech III, Albany, NY Welcome to Albany Medical Center, providing excellent care to our community each day. We have an exciting opportunity for Medical Imaging Techs to join our team. An ideal candidate must be able to multi-task in a fast-paced environment, both independently and on a team. This is a per diem position with a monthly requirement of 12 hours. This is an onsite position at the Guilderland EmUrgnetCare, with some travel required. Job Description: • Properly identify and prepare patients for radiologic procedures and perform diagnostic x-ray exams following established protocols and procedures for patient care and safety in an outpatient urgent care setting, • Accurately select the correct patient, anatomy and protocols to complete exam, • Confirm, schedule and log completed radiologic procedures in computer and site schedules, • Clean and maintain equipment and examination rooms at all times, • Directing patients to examination rooms, • Ensuring rooms are setup for efficient patient care, • Ordering and re-stocking of medical supplies, • Team support to medical providers and front desk Minimum Requirements: • Associate’s degree in Radiologic Technology is required, • NYS Radiologic Technologist license and current AART registration is required, • Demonstrate knowledge and skills necessary to provide basic x-ray procedures, • Knowledge of anatomy, physiology and body mechanics necessary to safely perform x-ray exams, • Basic knowledge of radiology equipment including safety hazards common to radiology, • Ability to communicate clearly and provide routine diagnostic imaging procedures to children, adolescents, adults and geriatric patients with consideration to cultural and developmental stages during the exam process, • Multi-tasking as a team player in a fast-paced setting, • Excellent customer service skills Experience: • Demonstrate knowledge and skills necessary to provide basic x-ray procedures, • Knowledge of anatomy, physiology and body mechanics necessary to safely perform x-ray exams, • Basic knowledge of radiology equipment including safety hazards common to radiology, • Ability to communicate clearly and provide routine diagnostic imaging procedures to children, adolescents, adults and geriatric patients with consideration to cultural and developmental stages during the exam process, • Multi-tasking as a team player in a fast-paced setting, • Excellent customer service skills Salary Range: $29.12/hr - $42.19/hr Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: EmUrgent Care - Schenectady Work Shift: Per Diem (United States of America) Salary Range: $60,367.47 - $90,551.20 Join our team and be part of something BIG. Imagine how good it would feel to provide state-of-the-art care to people who need it each day. World-Class specialty care closer to home. Welcome to Albany Medical Center, providing excellent care to our community each day. We have an exciting opportunity for Medical Imaging Techs to join our team. An ideal candidate must be able to multi-task in a fast-paced environment, both independently and on a team. This is a per diem position with a monthly requirement of 12 hours. This is an onsite position at the Niskayuna EmUrgentCare, with some travel required. Primary Job Responsibilities: • Properly identify and prepare patients for radiologic procedures and perform diagnostic x-ray exams following established protocols and procedures for patient care and safety in an outpatient urgent care setting, • Accurately select the correct patient, anatomy and protocols to complete exam, • Confirm, schedule and log completed radiologic procedures in computer and site schedules, • Clean and always maintain equipment and examination rooms, • Collect vitals and brief medical history of patients, • Directing patients to examination rooms, • Ensuring rooms are setup for efficient patient care, • Ordering and re-stocking of medical supplies, • Team support to medical providers and front desk Education Requirements: • Graduate of an approved Radiologic Technology program required, • American Registry of Radiologic Technologists (ARRT) registration, • Applicable state licensure as a Radiologic Technologist required Experience: • Demonstrate knowledge and skills necessary to provide basic x-ray procedures, • Knowledge of anatomy, physiology and body mechanics necessary to safely perform x-ray exams, • Basic knowledge of radiology equipment including safety hazards common to radiology, • Ability to communicate clearly and provide routine diagnostic imaging procedures to children, adolescents, adults and geriatric patients with consideration to cultural and developmental stages during the exam process, • Multi-tasking as a team player in a fast-paced setting, • Excellent customer service skills Competitive Benefits and Perks: • Paid hands-on training, • Opportunities for growth within the Albany Medical Center family, • Medical Coverage (CDPHP), Dental and Vision plans available, • Located on main public transportation lines, • Paid Time Off, • Tuition Reimbursement Best of the Capital Region Albany Med is at its best when our community needs us most. We’ve been voted Best Hospital in the Times Union’s annual readers’ poll for two consecutive years. For more information about Albany Med, visit our website at amc.edu and interact with us on LinkedIn, Facebook, Instagram, and YouTube. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Cargill Animal Nutrition is a global business that serves large-scale feed mill operators and retailers, as well as individual farmers. Our business has provided better nutrition for better lives for more than 120 years. By leading, innovating, and transforming the animal nutrition & health industry, we ensure that the customers we serve, the animals we feed, and the consumers who rely on that protein, thrive. Working at Cargill is an opportunity to thrive – a place to develop your career to the fullest while engaging in meaningful work that makes a positive impact around the globe. We depend on creative, responsible, hardworking individuals like you to operate our business successfully! Job Type: Full Time Shift Available: 2nd / 3rd Compensation: $28.00/hr-$40.00/hr New, easy-to-apply options are available for this role: chat with our recruiting assistant Ana at careers.cargill.com or text CargillJobs to 60196. Benefits Information: • Medical, Dental, Vision, and Prescription Drug Insurance, • Health and Wellness Incentives, • Paid Vacation and Holidays, • 401(k) with Cargill matching contributions, • Flexible Spending Accounts (FSAs), • Short-Term Disability and Life Insurance, • Employee Assistance Program (EAP), • Tuition Reimbursement, • Employee Discounts A Typical Work Day May Include: • Completing preventative, predictive, and reactive industrial maintenance throughout the facility with limited direction, • Leverage knowledge and ability to operate 1 or 2 standard maintenance tools such as power tools, basic hand tools, electric tools, precision maintenance tools and preventative maintenance technology tools, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems), • Modify with some direction or instruction in either electrical or mechanical schematics, blueprints, and operation manuals, • Document completed work and the conditions found, utilizing maintenance computer software and interact regularly with peers and management to pursue continuous improvement of facility operations, • Operating forklifts, loaders, scissor lifts, and aerial lifts following standard production documentation to deliver to the correct location, • Understanding and adhering to all safety policies and procedures, • Maintaining a safe and clean work environment, • Other duties as assigned What You Will Need: • Eligible to work in the United States without visa sponsorship, • Must be 18 years or older, • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, and twisting, with or without reasonable accommodation, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE) including a respirator, • Ability to work in elevated areas (4 feet and above), • Ability to understand and communicate in English (verbal/written), • Ability to work in confined spaces, • Basic computer skills, • Ability to work overtime including holidays, nights, weekends, or different shifts with advance notice, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems) What Will Put You Ahead: • Experience performing maintenance trades such as rigging systems, bearings, and lubrication., • Experience with safe work practices, such as Pre-Job Hazard Analysis (PJHA), confined spaces, job task permitting, etc, • Trade school certification or degree in a maintenance related field, or relevant military experience, • Experience with precision maintenance, such as laser alignment and/or dial indication Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation reimbursement. Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use ___ to create a login to apply.

Cargill Animal Nutrition is a global business that serves large-scale feed mill operators and retailers, as well as individual farmers. Our business has provided better nutrition for better lives for more than 120 years. By leading, innovating, and transforming the animal nutrition & health industry, we ensure that the customers we serve, the animals we feed, and the consumers who rely on that protein, thrive. Working at Cargill is an opportunity to thrive – a place to develop your career to the fullest while engaging in meaningful work that makes a positive impact around the globe. We depend on creative, responsible, hardworking individuals like you to operate our business successfully! Job Type: Full Time Shift Available: 2nd / 3rd Compensation: $28.00/hr-$40.00/hr New, easy-to-apply options are available for this role: chat with our recruiting assistant Ana at careers.cargill.com or text CargillJobs to 60196. Benefits Information: • Medical, Dental, Vision, and Prescription Drug Insurance, • Health and Wellness Incentives, • Paid Vacation and Holidays, • 401(k) with Cargill matching contributions, • Flexible Spending Accounts (FSAs), • Short-Term Disability and Life Insurance, • Employee Assistance Program (EAP), • Tuition Reimbursement, • Employee Discounts A Typical Work Day May Include: • Completing preventative, predictive, and reactive industrial maintenance throughout the facility with limited direction, • Leverage knowledge and ability to operate 1 or 2 standard maintenance tools such as power tools, basic hand tools, electric tools, precision maintenance tools and preventative maintenance technology tools, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems), • Modify with some direction or instruction in either electrical or mechanical schematics, blueprints, and operation manuals, • Document completed work and the conditions found, utilizing maintenance computer software and interact regularly with peers and management to pursue continuous improvement of facility operations, • Operating forklifts, loaders, scissor lifts, and aerial lifts following standard production documentation to deliver to the correct location, • Understanding and adhering to all safety policies and procedures, • Maintaining a safe and clean work environment, • Other duties as assigned What You Will Need: • Eligible to work in the United States without visa sponsorship, • Must be 18 years or older, • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, and twisting, with or without reasonable accommodation, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE) including a respirator, • Ability to work in elevated areas (4 feet and above), • Ability to understand and communicate in English (verbal/written), • Ability to work in confined spaces, • Basic computer skills, • Ability to work overtime including holidays, nights, weekends, or different shifts with advance notice, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems) What Will Put You Ahead: • Experience performing maintenance trades such as rigging systems, bearings, and lubrication., • Experience with safe work practices, such as Pre-Job Hazard Analysis (PJHA), confined spaces, job task permitting, etc, • Trade school certification or degree in a maintenance related field, or relevant military experience, • Experience with precision maintenance, such as laser alignment and/or dial indication Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation reimbursement. Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use ___ to create a login to apply.

Cargill Animal Nutrition is a global business that serves large-scale feed mill operators and retailers, as well as individual farmers. Our business has provided better nutrition for better lives for more than 120 years. By leading, innovating, and transforming the animal nutrition & health industry, we ensure that the customers we serve, the animals we feed, and the consumers who rely on that protein, thrive. Working at Cargill is an opportunity to thrive – a place to develop your career to the fullest while engaging in meaningful work that makes a positive impact around the globe. We depend on creative, responsible, hardworking individuals like you to operate our business successfully! Job Type: Full Time Shift Available: 2nd / 3rd Compensation: $28.00/hr-$40.00/hr New, easy-to-apply options are available for this role: chat with our recruiting assistant Ana at careers.cargill.com or text CargillJobs to 60196. Benefits Information: • Medical, Dental, Vision, and Prescription Drug Insurance, • Health and Wellness Incentives, • Paid Vacation and Holidays, • 401(k) with Cargill matching contributions, • Flexible Spending Accounts (FSAs), • Short-Term Disability and Life Insurance, • Employee Assistance Program (EAP), • Tuition Reimbursement, • Employee Discounts A Typical Work Day May Include: • Completing preventative, predictive, and reactive industrial maintenance throughout the facility with limited direction, • Leverage knowledge and ability to operate 1 or 2 standard maintenance tools such as power tools, basic hand tools, electric tools, precision maintenance tools and preventative maintenance technology tools, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems), • Modify with some direction or instruction in either electrical or mechanical schematics, blueprints, and operation manuals, • Document completed work and the conditions found, utilizing maintenance computer software and interact regularly with peers and management to pursue continuous improvement of facility operations, • Operating forklifts, loaders, scissor lifts, and aerial lifts following standard production documentation to deliver to the correct location, • Understanding and adhering to all safety policies and procedures, • Maintaining a safe and clean work environment, • Other duties as assigned What You Will Need: • Eligible to work in the United States without visa sponsorship, • Must be 18 years or older, • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, and twisting, with or without reasonable accommodation, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE) including a respirator, • Ability to work in elevated areas (4 feet and above), • Ability to understand and communicate in English (verbal/written), • Ability to work in confined spaces, • Basic computer skills, • Ability to work overtime including holidays, nights, weekends, or different shifts with advance notice, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems) What Will Put You Ahead: • Experience performing maintenance trades such as rigging systems, bearings, and lubrication., • Experience with safe work practices, such as Pre-Job Hazard Analysis (PJHA), confined spaces, job task permitting, etc, • Trade school certification or degree in a maintenance related field, or relevant military experience, • Experience with precision maintenance, such as laser alignment and/or dial indication Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation reimbursement. Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use ___ to create a login to apply.

Cargill Animal Nutrition is a global business that serves large-scale feed mill operators and retailers, as well as individual farmers. Our business has provided better nutrition for better lives for more than 120 years. By leading, innovating, and transforming the animal nutrition & health industry, we ensure that the customers we serve, the animals we feed, and the consumers who rely on that protein, thrive. Working at Cargill is an opportunity to thrive – a place to develop your career to the fullest while engaging in meaningful work that makes a positive impact around the globe. We depend on creative, responsible, hardworking individuals like you to operate our business successfully! Job Type: Full Time Shift Available: 2nd / 3rd Compensation: $28.00/hr-$40.00/hr New, easy-to-apply options are available for this role: chat with our recruiting assistant Ana at careers.cargill.com or text CargillJobs to 60196. Benefits Information: • Medical, Dental, Vision, and Prescription Drug Insurance, • Health and Wellness Incentives, • Paid Vacation and Holidays, • 401(k) with Cargill matching contributions, • Flexible Spending Accounts (FSAs), • Short-Term Disability and Life Insurance, • Employee Assistance Program (EAP), • Tuition Reimbursement, • Employee Discounts A Typical Work Day May Include: • Completing preventative, predictive, and reactive industrial maintenance throughout the facility with limited direction, • Leverage knowledge and ability to operate 1 or 2 standard maintenance tools such as power tools, basic hand tools, electric tools, precision maintenance tools and preventative maintenance technology tools, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems), • Modify with some direction or instruction in either electrical or mechanical schematics, blueprints, and operation manuals, • Document completed work and the conditions found, utilizing maintenance computer software and interact regularly with peers and management to pursue continuous improvement of facility operations, • Operating forklifts, loaders, scissor lifts, and aerial lifts following standard production documentation to deliver to the correct location, • Understanding and adhering to all safety policies and procedures, • Maintaining a safe and clean work environment, • Other duties as assigned What You Will Need: • Eligible to work in the United States without visa sponsorship, • Must be 18 years or older, • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, and twisting, with or without reasonable accommodation, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE) including a respirator, • Ability to work in elevated areas (4 feet and above), • Ability to understand and communicate in English (verbal/written), • Ability to work in confined spaces, • Basic computer skills, • Ability to work overtime including holidays, nights, weekends, or different shifts with advance notice, • Demonstrate experience in 1 or 2 maintenance trades and components (ex. electrical, welding, pipefitting, fabrication, gearbox and bearing maintenance, lubrication, pumps and piping systems, mechanical maintenance, and hydraulic and pneumatic systems) What Will Put You Ahead: • Experience performing maintenance trades such as rigging systems, bearings, and lubrication., • Experience with safe work practices, such as Pre-Job Hazard Analysis (PJHA), confined spaces, job task permitting, etc, • Trade school certification or degree in a maintenance related field, or relevant military experience, • Experience with precision maintenance, such as laser alignment and/or dial indication Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation reimbursement. Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use ___ to create a login to apply.

Be part of the future! We are one team, dedicated to working collaboratively to create the purposeful solutions that propel the world forward. We hope you will join our diverse team of top people – you bring your talent, and we’ll give you the space and opportunities to grow and succeed. We are committed to make a difference. What you will do This position will be responsible for the installation of complex integrated security systems to include the wiring, equipment and programming of access control systems, CCTV, digital recorders, network recorders, and intercom systems for clients. How you will do it • Capable of installing cabling, field equipment & control equipment enclosures in customer locations according to the national electric code, company and customer guidelines., • Can use electronic test equipment to troubleshoot complicated problems during installation., • Reads and interprets blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals., • Readjust equipment, repair or replace inoperative equipment and test for operation, • Performs system checks for proper operation., • Knowledge of computer programs including word processing, spreadsheets and databases; CCTV and access control systems; media storage., • Ability to plan, organize and prioritize work paying close attention to details., • Ability to communicate effectively, orally and in writing, while establishing and maintaining cooperative working relationships., • Ability to analyze information., • Can work unsupervised to complete installation jobs and is self-motivated to complete jobs., • Completes and submits all necessary paperwork related to job assignments., • Capable of using hand and power tools to properly mount and secure equipment, • Feed cables through access holes, roof spaces, and cavity walls to reach fixture outlets; then position and terminate cables, wires and strapping, • Drill holes for wiring in wall studs, joists, ceilings, and floors., • Conduct End- User training., • Ability to isolate trouble to a customer network, where applicable What we look for Required • High school diploma, GED, or equivalent., • A+ certification required., • Significant background (3+ year experience) in Digital & Analog Camera Systems., • Significant background (3+ year experience) in Access Control Systems., • Understanding of the function and design of Alarm Systems., • Experience with IP addressable security devices (2+ years)., • Must be computer literate to include advanced TCP/IP networking skills., • Must be able to operate a company truck with an acceptable driving record., • Is proficient with all aspects and operation of ADT A.I. core card access, CCTV systems. Preferred • Associate Degree or 2-year technical school program graduate preferred., • An industry-recognized apprentice training program may be substituted for the formal education requirement., • Specialized training/ certification in the following categories:, • Access Control (at least 3 certifications from the following), • Prowatch, • C-Cure 800 or C-Cure 9000, • Casi- Facility Commander or Picture Perfect or Secure Perfect, • CCTV- Analog (at least 1 certifications from the following), • Bosch, • Pelco, • American Dynamics, • Cisco, • CCTV- IP (at least 1 certifications from the following), • Genetec, • Indigo Vision, • Visitor Management (experience in any of the following preferred), • Honeywell Lobby Works, • Stopware, • Access Sentry, • Additional experience a plus: MCSE, CCNA, Surveillance Systems, Intrusion Detection Systems, Perimeter Intrusion Detection Systems and Security Gate Operators. Pay Range: Entry level is $20.85/hr. to start. Higher starting rate offered based on experience & skill level. Hourly rate determined by the CBA/rate sheet. Benefits are provided through a local labor union aligned with a collective bargaining agreement. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Naval Nuclear Laboratory has internship opportunities for college students to spend the summer of 2027 getting great work experience, in great locations, supporting the world's greatest Navy. The Naval Nuclear Laboratory is looking for Software Developer interns to join our team. You will work in a technically diverse and dynamic environment with a team of Software Developers and stakeholders responsible for all aspects of software development for the business. During your internship, you will be a member of one of the many teams that develop, test, and maintain a variety of software products, from embedded systems to enterprise applications. Teams collaborate to develop client requirements and deliver capable and secure software. Program highlights include: • Final presentation to management, peers, and other NNL employees, • Meet directly with NNL General Manager and Executive Leadership, • Partnership with a mentor, • Opportunity to tour local NNL site facilities, • Trip to a Naval Shipyard for a guided tour, • Extensive networking opportunities The NNL Internship is a 10-12 week program starting in May/June 2027. An internship position may result in a return internship or full-time employment offer upon successful completion of the program. Candidates for Software Developer internship positions must be: • Pursuing Computer and Electrical Engineering, Computer Science, Information Technology, Information Science, or related BS, MS or PhD degrees from an accredited college or university, • Must have completed at least first full year of college by May 2027, • Enrolled/continuing in a degree program throughout this internship Students must attach most recent unofficial college transcripts and resume (including anticipated graduation date) to the employment application. We will not accept any applications that do not include this information. • Cumulative minimum GPA 3.0/4.0, • Prior related internship, co-op or work experience (paid or volunteer), • Competitive Salary, • Defined Contribution Retirement Plans:, • 401(k) Plan with company match, • Capital Accumulation Plan (CAP) with company contribution, • Flexible work schedules and 9/80 work schedule option (every other Friday off). Hybrid work schedule may be available Salary information provided is a general guideline only. Hourly salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law. ___ Back to results

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Naval Nuclear Laboratory has internship opportunities for college students to spend the summer of 2027gettinggreat workexperience, in great locations, supporting the world's greatest Navy. Are you an Electrical Engineering student that is looking for a unique and challenging internship experience? Are you looking for a rewarding career path upon graduation? If so, apply today! NNL Summer Technical Internships offer you an immersive professional experience in your field of study. You have the opportunity to work directly with world class engineers, scientists, researchers, and technicians who will provide you with real-world experience and mentorship. We work with state-of-the-art techniques researching and developing new technologies and concepts; designing and testing software, components or integrated systems; developing models and performing data analysis; supporting operations and developing process controls and procedures. At NNL you are a part of a team working on deliverables that have a direct impact on the Navy's nuclear fleet. Program highlights include: • Final presentation to management, peers, and other NNL employees, • Meet directly with NNL General Manager and Executive Leadership, • Partnership with a mentor, • Opportunity to tour local NNL site facilities, • Trip to a Naval Shipyard for a guided tour, • Extensive networking opportunities The NNL Internship is a 10-12 week program starting in May/June 2027. An internship position may result in a return internship or full-time employment offer (based on student eligibility) upon successful completion of the program. Candidates for Electrical Engineering internship positions must be: • Pursuing Electrical Engineering, Computer Engineering, or related BS, MS or PhD degrees from an accredited college or university Must have completed at least first full year of college by May 2027 * Enrolled/continuing in a degree program throughout this internship Students must attach most recent unofficial college transcripts and resume (including anticipated graduation date) to the employment application. We will not accept any applications that do not include this information. * CumulativeminimumGPA 3.0/4.0 * Prior related internship,co-opor work experience (paid or volunteer) * Department of Energy (DOE), Department of Defense (DOD)or Naval Nuclear Program experience NNL offers an outstanding Compensation and Benefits package for interns which includes: • Competitive Salary, • Defined Contribution Retirement Plans:, • 401(k) Plan with company match, • Capital Accumulation Plan (CAP) with company contribution, • Flexible work schedules and 9/80 work schedule option (every other Friday off). Hybrid work schedule may be available Salary information provided is a general guideline only. Hourly salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law. ___ Back to results

We are currently hiring a full-time Security Officer for a site in Clifton Park, NY. This position offers a pay rate of $17.50 per hour. The schedule is Monday through Friday, 1400-2200 (2:00 PM – 10:00 PM), totaling 40 hours per week. Reliable transportation is required as public transit may not align with shift hours. The available positions will also require a valid NYS Driver's License and applicants must be able to meet the Securitas Safe Drive program requirements as they will be utilizing a client vehicle for patrols. CPR training will be provided if candidate does not have current certification. ________________________________________ What You’ll Do • Control access to the facility and monitor vehicle drop-offs and pickups. • Sit in the guard shack to oversee and manage the secure entry and exit of trucks. • Conduct driving patrols throughout the property (Safe-Drive certification required). • Log all transactions and activities both on paper and in computer systems. • Monitor for suspicious activity and ensure site policies are strictly followed. • Write clear, professional reports on incidents and daily activities. • Handle interactions with visitors and staff, including managing difficult situations. • Perform a large portion of duties outdoors in varying weather conditions. • Operate security-related technology and systems. ________________________________________ What We’re Looking For • Valid driver’s license (must be able to pass Safe-Drive certification). • Strong customer service skills with the ability to enforce site rules firmly and professionally. • Excellent written communication skills for report writing. • Comfortable working independently and as part of a team. • Able to remain calm and professional in high-pressure or confrontational situations. • Willingness to work outdoors for extended periods. • Prior security experience is preferred but not required. ________________________________________ Why Apply? • Set consistent schedule • Weekly pay and competitive benefits • Opportunity to grow within a supportive, team‑oriented environment • Strong internal promotion culture—leadership pathways available • Direct impact on daily operations and team success If you are reliable, detail-oriented, and confident in handling a variety of situations, we invite you to apply and join a team committed to keeping the premises secure and running smoothly. Security Officer We help make your world a safer place. Securitas is a global company that offers the most advanced and sustainable security solutions in the industry. We are located in 47 countries and have 355,000 employees worldwide and over 150,000 clients. Securitas plays an essential role for our clients and in society. The Security Officer position helps maintain a safe and secure environment for our clients by actively monitoring the premises, including patrolling a variety of locations. They preserve order while enforcing regulations and directives for a client site pertaining to personnel, visitors, and the area. Frequently our Security Officers will provide customer service and information to a client’s employees and customers. We are driven by a clear corporate culture and purpose, which helps us live according to our values of Integrity, Vigilance, and Helpfulness. These values are at the heart of our culture, help define who we are and guide our actions. No experience necessary! If you have retail, food service or hospitality industry background you are a great fit for this role; if not, we will provide you with the training and everything you need for a great introduction to a career in the security industry. Are you interested in being part of our Team? · Apply quickly and efficiently online · Interview from the convenience of your own home · Weekly pay · Competitive benefits · Flexible schedules With over 80 years of protecting the things that matter, we’ve seen more than most. That’s why Securitas is the partner of choice for companies and an employer of choice for candidates worldwide. See a different world. “Securitas is committed to diversity, equity, inclusion and belonging in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable legally protected characteristic.” EOE/M/F/Vet/Disabilities #UPSTATENY Securitas employees come from all walks of life, bringing with them a variety of distinctive skills and perspectives. United through our common purpose, we provide the security needed to safeguard our clients' assets and people. Our core values - Integrity, Vigilance and Helpfulness - are represented by the three red dots in the Securitas logo. If you live by these values, we’re looking for you to join the Securitas team. Benefits include: • Retirement plan, • Employer-provided medical and dental coverage, • Company-paid life insurance, • Voluntary life and disability insurance, • Employee assistance plan, • Securitas Saves discount program, • Paid holidays

Job DescriptionJob Summary We are seeking a customer-focused Customer Service Representative to serve as a key point of contact for our customers. In this role, you will handle inbound calls, process service requests, resolve billing inquiries, and ensure an exceptional customer experience. The ideal candidate is a strong communicator who is detail-oriented, dependable, and motivated to help customers efficiently and professionally. Key Responsibilities • Handle inbound customer calls to process new service requests, service changes, and service discontinuations, • Accurately enter and update customer account information in internal systems, • Accept and process customer payments while ensuring compliance with company policies, • Research and resolve customer billing inquiries and account discrepancies, • Collaborate with internal teams to determine service requirements and resolve customer issues or complaints, • Provide cost-effective, safe, and environmentally responsible solutions to customer service needs, • Deliver consistent, high-quality customer support while meeting performance and quality standardsRequired Skills & Qualifications, • 1–2 years of experience in a call center or customer service environment, • High school diploma or equivalent, • Strong verbal and written communication skills, • Customer-focused mindset with a professional and empathetic approach, • Ability to handle multiple tasks and navigate computer systems efficiently This is a Contract to Hire position based out of Clifton Park, NY. Pay and Benefits The pay range for this position is $19.00 - $20.50/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Clifton Park,NY. Application Deadline This position is anticipated to close on Apr 1, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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

Note: This is an educational program, not a job. Successful completion of the program does not guarantee employment but will equip you with valuable skills for the technology job market. Are you passionate about innovation and looking to start a rewarding career path in the tech industry? Dreambound offers cutting-edge technology training programs that will equip you with the skills needed for various high-demand roles in the rapidly evolving tech sector. What programs are available? We offer specialized technology training programs depending on your location, including: • Cybersecurity, • Technical Project Management, • Cloud Computing, • Information Technologies, • Computer Aided Design, • Electronics Engineering, • Network Administration, • Software Development, • Mobile Development You'll receive hands-on training and comprehensive instruction to prepare you for certification (if relevant) and the tech job market. Highlights : • Complete in as short as just a few weeks, • Flexible online and in-person options available This is an educational opportunity that requires a financial investment. Cost varies per partner school, but payment plans and / or financial aid may be available to those who qualify. Take the first step towards your new career path today!

Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Description At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! The Leidos Defense Group has a current opening for a Multi-Media Designer (MMD) with broad-based computer skills to support Navy training programs. In this project we update computer-based training modules (CBT) to reflect revised curricula provided by instructional experts and experienced maritime power plant technicians as part of the Computer-Guided Studies (CGS used in the Navy's self-paced training program. Candidates with the qualifications and security clearance are encouraged to apply immediately. Candidates with the qualifications but without security clearances are also encouraged to apply, but you will have to obtain a clearance as a condition for starting work (Leidos will assist with the clearance process.) If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Group provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. To explore and learn more, click ___! Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your resume with us today! Primary Responsibilities: -Candidate will be a member of a multi-disciplinary team consisting of Navy and contractor maritime power plant subject matter experts, instructional system designers, and multi-media designers working in a fast-paced, demanding environment. -Assists with the design and programming of interactive multimedia applications for web-based delivery. -Candidate must be a motivated self-starter who is able to multi-task and work within deadlines and must be able to smoothly transition between various projects to solve technical issues. -Must have excellent communication skills, the ability to work with Maritime Power Plant Training Specialists, Instructional Systems Designers, other MMDs, and other Subject Matter Experts. -Provide accurate task completion estimates and develop applications using storyboards. Responsible for applying adult learning theory to the creation of e-Learning and blended learning solutions. -Assist in the research, selection, and modification of existing training content to meet learning needs. -Converting instructor led content to e-Learning solutions, when applicable. Supports training team administrative functions, as assigned, including manipulation of portal content and integrity of training related databases. -Successful candidate may work in either West Mifflin, PA or West Milton, NY; however, please note you must be in one of those locations as telework is not permitted on this subcontract due to security requirements. Basic Qualifications- Required Experience, Skills, and Education: • Will be proficient in the development of multimedia products for use in web-based environments., • Will have a minimum of an Associate's degree with five (5) years of professional experience or equivalent combined education/experience., • Will be proficient in developing computer-based vector graphics using Adobe Illustrator Creative Cloud., • Will be proficient in developing computer-based raster graphics using Adobe Photoshop Creative Cloud., • Will be proficient in developing computer based interactive media using Adobe Animate Creative Cloud., • Will have experience in 3D modeling and animating, • Will be proficient in assembling SCORM based software using a Learning Content Management System (LCMS)., • Will be proficient with the following programming languages: JavaScript, HTML, CSS, XML., • Will be proficient with Microsoft Office tools including Excel and Word., • Will work with NNL and Navy subject matter experts to assist in training curriculum development and implementation., • Will be proficient in the development of interactive training applications object-oriented programming. Preferred Qualifications- Preferred Experience, Skills, and Education: • Bachelor's degree and 1 year relevant experience or equivalent education and experience or Associate's degree with 3 years of professional experience., • Experience developing animation timelines and ability to describe the animation timeline process., • Experience using Adobe products such as Photoshop, Illustrator, Dreamweaver, Animate, Media Encoder, and InDesign., • Experience in building eLearning strategies to support program initiatives., • Experience / familiarity with the following is a plus: Will be proficient with Articulate Storyline 360., • Developing Databases using Microsoft Access., • Work with Learning Content Management Systems and Learning Management Systems including the use of SCORM, Tin Can, Section 508 and other industry standards., • Proficient in the storyboarding of training products including sequencing and interactivity specifications., • Use of Adobe Premiere., • Familiarity or experience with any Armed Forces technical training programs is a plus. Talent Acquisition Workday Requisition Template, • Capable of serving as a member of a multi-disciplinary virtual team at geographically dispersed locations., • Active or current U.S. DoD Secret or higher or DoE L or Q clearance is a plus., • Will be proficient in the storyboarding of training products including sequencing and interactivity specifications., • Will be proficient with troubleshooting techniques for software and multimedia development environments., • Will work with NNL and Navy subject matter experts to assist in training curriculum development and implementation., • Will be proficient working with Learning Content Management Systems and Learning Management Systems including the use of SCORM, Tin Can, Section 508 and other industry standards. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $52,000.00 - $94,000.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Senior Data Integration & ETL Engineer Location : One Day in a week on site Albany NY Duration : Long-term Contract Client : Government Agency Start Date : ASAP About the Role We are seeking a highly skilled Senior Data Integration & ETL Engineer to support a large-scale data analytics and data interchange initiative for a government client. The ideal consultant will have deep experience building and maintaining complex data pipelines, integrating diverse data sources, and supporting analytics environments. This role requires a strong foundation in ETL development, data modeling, SQL, and data interchange systems. Candidates must meet all minimum qualifications to be considered. Minimum Qualifications (Required) Candidates must meet all of the following: ✔ M1 — Education Experience developing and maintaining data interchange systems involving: • Flat files, • Direct database connections, • XML transactions Hands-on experience with ETL tools such as: • Informatica, Talend, SSIS, DataStage, Pentaho Experience designing: • Logical and physical data models, • Dimensional models (star/snowflake) Experience developing ETL pipelines specifically to support: • Data analytics, • BI environments Strong SQL experience including: • Complex joins, • Stored procedures, • Query optimization Preferred Qualifications (Nice to Have) P1 — Python scripting experience P2 — Tableau Server Administration (1+ year) P3 — Customer-facing experience in data validation, troubleshooting, or requirements gathering P4 — Statistics coursework or 1+ year using statistics professionally P5 — SQL or PL/SQL database development P6 — ETL pipelines supporting Tableau analytics P7 — ETL experience supporting a government data analytics program Key Responsibilities • Develop and maintain ETL pipelines to support analytics and reporting, • Integrate data from diverse sources including flat files, XML, and direct DB connections, • Design and optimize data models for analytics, • Collaborate with business users on data validation and requirements, • Support data quality, data governance, and troubleshooting efforts, • Work with BI teams to ensure data readiness for dashboards and reporting Required Skills • ETL development, • SQL (advanced), • Data modeling, • Data integration, • XML, flat files, relational databases, • Analytics-focused data engineering

Job DescriptionSalary: $16.80-$20.40 Company Summary Grace Fellowship is a Christ-centered, non-denominational Christian church in the Capital District that believes in the authority of the Bible. All of the Churchs teaching focuses on integrating the truth of God's Word into our daily lives. Grace Fellowships mission is to glorify God by making more and better disciples. We believe that God, in His wisdom, has chosen us to be an integral part of helping to fulfill this mission. Its Grace Fellowships goal to see our community continually moving forward in their journey towards being Christ-centered. Grace Fellowship has 3 locations: Latham, Halfmoon, and Saratoga. Position Summary The Production Coordinator provides leadership and technical oversight to support worship services, rehearsals, and special events. This role ensures reliable, high-quality audio, video, and lighting through effective programming, preparation, system maintenance, and troubleshooting. The Production Coordinator oversees production volunteer teams and collaborates with the Worship Arts Pastor to carry out their vision for services. Essential Functions • Oversee weekend preparation and setup as directed by the Worship Arts Pastor, ensuring production spaces are ready, organized, and fully functional for services, • Operate, maintain and monitor all production equipment, including audio, video, lighting, and stage systems, ensuring safe and reliable execution during services and events, • Build and lead the Production Ministry alongside the Worship Arts Pastor by recruiting, training, and supporting volunteers., • Coordinate scheduling for production volunteers serving during Sunday services and special events, prioritizing accuracy, clear communication, and timely updates. Ensure adequate coverage for all campus production roles across services and events., • Produce in-person worship services by providing technical oversight and hands-on support in the preparation and execution of services and special events, serving as a technical operator as needed., • Develop and maintain a master plan for production equipment maintenance, replacement, and upgrades, including documentation of needs and timelines, • Participate in the design and construction of stage designs, special elements, and event rentals as assigned, • Collaborate with multi-campus worship leaders, production teams, and church-wide staff on all-staff meetings, events, and volunteer gatherings to support unified standards and effective execution, • Assist with annual budget planning and responsible stewardship of production resources, including equipment planning and cost awareness, • Ensure safe operation of production equipment and adherence to technical and safety standards, including proper setup, cable management, and risk awareness, • Use a scissor lift, ladder, or other powered or manual equipment as needed to install, maintain, and adjust production equipment or stage design, in accordance with training and safety requirements, • Perform other related production and service support duties as assigned in support of campus ministry and worship initiatives Knowledge, Skills, & Abilities (KSAs) Required KSAs • Associates degree from a 2-year college and/or four (4) years related experience or training, or an equivalent combination of education and experience, • Knowledge of live production systems, including audio, video, lighting, with the ability to apply best practices in a worship environment, • Demonstrated ability to exercise sound judgement and make timely decisions during live services and events, • Consistently produces high-quality work with strong attention to detail and accuracy, • Strong interpersonal skills & the ability to effectively work with a wide range of individuals, • Proven ability to communicate clearly, both verbally and in writing, with calm professionalism during time-sensitive situations, • Ability to safely operate production equipment and maintain awareness of technical and physical safety standards in worship environments, • Current active member of Grace Fellowship, or willingness to become a member and actively support the mission, values, and beliefs of Grace Fellowship Desired KSAs • Working knowledge of production software and hardware such as Planning Center, Vista by Chroma-Q, GrandMA, Ableton Live, Pro Tools, ProPresenter, Resolume, and Allen & Heath consoles, • Experience managing volunteers or teams strongly preferred, including scheduling, coaching, and accountability What We Believe Grace Fellowship expects all staff to align with our nine (9) statements of faith. These can be found on our website. Working Conditions • Work is performed in office, sanctuary, rehearsal, and live production environments, • Transportation to & between work locations, as required, • Weekend and some evening work required, • This position requires regular in-person work on campus, with limited remote work at the discretion of the supervisor, • Exposure to varying sound levels and stage lighting during rehearsals and worship services Physical & Mental Demands • Ability to perceive and respond to auditory cues necessary for production coordination and team communication, with or without reasonable accommodation, • Ability to visually monitor and adjust lighting cues, video feeds, stage environments, and production elements with or without reasonable accommodation, • Ability to operate production technology using fine motor skills, with or without reasonable accommodation, • May be required to lift up to 50 lbs., • Ability to look at a computer screen for a significant part of the workday, • Continuous talking and hearing while communicating with staff and volunteers, • Finger dexterity required to use computers, tablets, and ministry-operated equipment, • Ability to plan and organize tasks, solve problems, and make independent decisions, • Reading, writing, and interpreting information, • Strong communication, leadership, and interpersonal skills, • Ability to safely operate ladders, scissor lifts, and other powered or manual equipment required for stage setup, lighting adjustments, and production-related tasks, in accordance with safety training and procedures, with or without reasonable accommodation

Job Description Prime Care Coordination is currently hiring in the areas of Albany, Amsterdam, and Schenectady. Summary: The Care Manager’s role is to work in partnership with individuals with I/DD, their family/guardian, and providers to coordinate care and services needed to assist individuals achieve optimal health, wellness, independence, community integration and accomplishing goals. The Care Manager is responsible for providing Health Home core services including comprehensive care management, care coordination and health promotion, comprehensive transitional care, individual and family support, referral to community and social support services, and use of Health Information Technology to link services. Care Managers will provide all services with a person-centered approach. Essential Job Functions: • Conduct comprehensive assessments to identify an individual’s clinical and psychosocial needs, choices, and preferences for services, • Assess and address health and safety issues as well as barriers to care and treatment including social determinants of health, • Collaborate with interdisciplinary team and incorporate input into comprehensive assessment and the person’s Life Plan, • Facilitate, develop, and maintain a person-centered Life Plan that integrates an individual’s personal wants and needs, clinical and non-clinical healthcare related needs, community services, OPWDD services, and natural supports., • Incorporate health promotion and support opportunities for individuals to achieve and maintain optimal health and wellbeing, • Adhere to Incident Management regulations, guidelines, and policies and procedures, • Coordinate and ensure access to chronic disease management, • Facilitate referrals to clinical and community resources, including planning, implementation, and follow-up for comprehensive care management and transitional care, • Participate in internal and external audits, • Coordinate and provide access to long-term care supports and services, • Engage families and natural supports in the care coordination process, • Provide all individuals and families with services that are culturally and linguistically appropriate, • Advocate on behalf of the individual, • Promote self-advocacy and the ability to self-direct, • Use Health Information Technology for documentation, to link services, and facilitate communication among care coordination team, • Secure all health records and other protected information with the highest regard to confidentiality and HIPAA laws and regulations, • Maintain compliance with all state and federal laws and regulations, Medicaid compliance, and PCC policies and procedures, • Document all services and maintain appropriate records following all established documentation policies and procedures, • Complete all required training including annual, ongoing, and educational trainings, • Perform all other duties relevant to the position as requested. Knowledge, Skills, and Abilities • Ability to act quickly, assess and act accordingly in crisis situations, • Intermediate technology skills in Outlook, Teams, Word, Excel, online applications as needed, • Understanding use of an EHR system, • Knowledge of ethical and professional responsibilities and boundaries, • Demonstrate professional work habits including dependability, time management, organization, autonomy, and productivity, • Some positions may require bi-lingual skills Education and Experience: • Bachelor’s degree with two years of relevant experience OR, • A license as a Registered Nurse with two years of relevant experience, which can include any employment experience and is not limited to case management/service coordination duties OR, • A Master’s degree with one year of relevant experience. Physical Requirements/Working Conditions: • Ability to sit/stand throughout day to accomplish job, • Ability to enter data, notes, and other documentation into a computer., • Must be able to travel throughout covered territories in Upstate NY as needed., • Must have a valid driver’s license, • Ability to conduct in-person visits and meetings at individuals homes, communities, schools, and other locations as applicable, • Ability to work remotely, satellite office locations, and/or primary office location Corporate Qualifications/Expectations: • Adhere to all Prime Care Coordination policies and procedures., • Adhere to the Agency Mission, Vision, Shared Values, and Customer Service Standards., • Attend mandatory education and training modules as scheduled; obtain and maintain required certifications., • Maintain all required certifications/training by State regulations and PCC policy, • Act as a professional representative of PCC in regard to appearance, behavior, temperament, communication, language, and dress. Prime Care Coordination is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law. Prime Care Coordination will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. If you are interested in applying for an employment opportunity and feel you need a reasonable accommodation pursuant to the ADA, please contact us at 585-341-4600

Job DescriptionSalary: Pay grade: 165 We are seeking a Fire Alarm Technician to join our Federal Systems team at our Schenectady, NY. At Johnson Controls, we support our nations most critical facilities, the people who occupy them, and the missions they enable. Johnson Controls Federal Systems (JCFS) is a specialized team serving as a trusted partner to the federal government. We help modernize U.S. military installations, Department of Defense and other federal agency facilities to be smarter, more resilient, efficient, sustainable, and secure. Shift:Primary hours are 7:00-3:30pm, Monday-Friday. Benefits: Eligible for benefits on first day of employment Vacation: 3 weeks of paid vacation per calendar year As a Fire Alarm Technician, you will: * Under direct supervision, completes assigned programming, commissioning, basic troubleshooting and preventive maintenance of fire alarm systems per contract obligations * Assists experienced personnel with solutions to systems problems, either troubleshooting the system or advising others on how to resolve problems. Requires understanding of core and third party fire products, software and systems electrical technology. * Assists in performing required commissioning documentation. Provide accurate information for as-builts documentation. * Conducts testing to ensure proper operation of equipment after installation or repairs * Adheres to safety standards and local and national codes, with a high degree of regard to employee and subcontractor safety. * Maintains appropriate local and National Fire Industry Certifications. * Read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals * Communicates with customer upon arrival and before leaving the work site. Continuous proactive customer interactions including an in-depth understanding of customer(s) needs wants and systems currently in place. * Completes paperwork and on site documentation as required. * Performs other duties as assigned Required Qualifications: * High School diploma or equivalent education * Two or more years' experience with commercial fire alarm or fire suppression systems * Ability to read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals * Ability to communicate effectively, orally and in writing, while establishing and maintaining cooperative working relationships. * Basic computer skills * The ability to obtain and maintain required government security clearance to support this site required. (This involves a background/character, criminal history, employment, and credit check.) Preferred Qualifications * NICET certification * Electronics certification from an accredited technical school or military electronics training preferred. Who We Are At Johnson Controls (NYSE:JCI), we are One Team working collaboratively to create purposeful solutions that make a difference in the world. We are a Fortune 500 company with more than 100,000 employees worldwide offering the world`s largest portfolio of building technology products, solutions and services. As a member of our Federal Systems team, your work matters. We value and recognize your contributions and want to help you succeed. We invest in our employees, provide opportunities for growth and advancement, and foster a culture of inclusion and respect. To learn more about who we are and what we do, please check out ourTake a Journeyvideo. Recently, Johnson Controls has been recognized by several organizations for leadership in Environment, Sustainability and Governance, as well as innovations in smart building platforms: • Named toFORTUNEs Most Admired Companies List, • Corporate Knights Global100 Most Sustainable Corporations in the World, • Named to ForbesNet Zero Leaderslist, • CDP 2023Climate Change 'A List', • Ranked 67 on the Drucker Institutes list ofbest-managed companies in America, • ForbesBest Employers for Diversity, • NewsweekAmericas Greatest Workplaces for Diversity, • Ethisphere 2024World's Most Ethical Companieslist for the 17th time, • NewsweekAmericas Greatest Workplaces for Women in 2024, • Named toNewsweek Americas Greatest Workplaces for Veterans 2024 / 2025listing, • Named toForbes Americas Best Employers for Veterans 2024, • Named one of the top military friendly employers by military.com. Johnson Controls is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit Division: JCFS (Johnson Controls Federal Systems) #LI-JW2 #LI-Onsite

Job DescriptionOverview Company Overview: Allied Universal®, North America's leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you will be part of a team that contributes to a culture that positively impacts the communities and customers we serve. Job Description Allied Universal® is hiring a Security Officer - Cleared (Clearance Eligible). At Allied Universal, a Cleared Security Officer is entrusted with sensitive information and given the responsibility to protect classified information and personnel. As a Cleared Security Officer, you'll receive specialized training in site-specific security protocols associated with your clearance level, allowing for skill development and professional growth in the security field. Full Time available at a DOD Cleared site in Niskayuna, NY Monday - Friday $28.00 / hour Must have a history of equivalent work experience 2+ years Must be at least 21+ years of age AAS degree from an accredited college or university or a bachelor's degree from an accredited college or university. Must be able to obtain DoD Secret Clearance RESPONSIBILITIES: • Provide high quality security services, safeguarding personnel, property, and information with professionalism, • Conduct patrols within and around the facility on foot, bicycle, or vehicle to ensure the protection of people, assets, and sensitive or classified information, • Greet guests and employees and escorts visitors and contractors to secure entry and exit points, • Follow site-specific performance manuals and post orders; reporting safety concerns, security breaches, and unusual circumstances via written and oral communication to client and/or other security personnel, • Respond to and assesses security alarms or emergency alarms, • High school diploma or equivalent, or 5 years of verifiable experience, • Able to obtain a Department of Defense (DoD) position appropriate level security clearance (national security eligibility determinations take into account a person's stability, trustworthiness, reliability, discretion, character, honesty, and judgment), • Licensing requirements are subject to state and/or local laws and regulations and may be required prior to employment, • Must possess one or more of the following:, • Minimum of three (3) years of security experience on a Department of Defense-cleared site, • Prior military experience, • Effective written and oral communication and interpersonal skills, • Exceptional customer service skills, • Prior law enforcement or armed security experience, • Health insurance and 401k plans for full-time positions, • Schedules that fit with your personal life goals, • Ongoing paid training programs and career growth opportunities If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: . Requisition ID 2026-1557889

Job Description • We are hiring immediately for full time VENDING ROUTE DRIVER positions., • Location: Prestige - Clifton Park - 8 Roberts Lane, Clifton Park, NY 12065 Note: online applications accepted only., • Schedule: Full time schedule. Monday - Friday, hours may vary. More details upon interview., • Requirement: Prior Driving/Delivery experience required., • Perks: All Canteen driving roles may include commission eligibility! About Canteen: Canteen brings break time to everyone. We combine food, service, and experience backed by industry-leading technology to help companies create a better workplace and connect their employees. Canteen’s solutions include markets, office coffee and snacks, unattended retail, and culinary. Our people are at the heart of everything we do. Their dedication, collaboration, and passion fuel our growth. Interested in joining our team? You bring the enthusiasm, customer service, and commitment; we’ll supply the opportunity and innovation. Together, we’ll continue to transform our industry. Come for the job, stay for the career. We are Canteen. Job Summary Click HERE to see a day in the life of a Canteen Route Driver! Summary: The Route Driver drives a company vehicle over an established route to deliver products or render services and fills and maintains vending and related equipment. The Route Driver is the face of the company and must project a professional and positive image of the company at all times while maintaining and building excellent client and customer relationships. This position has excellent advancement opportunities, providing employees with the foundation needed for entry level management opportunities. Essential Duties and Responsibilities: • Maintain proper inventory levels and product distribution for vending machines., • Perform product rotation to ensure freshness at designated client locations for vending machines., • Provide client and customer satisfaction in every aspect of job performance., • Informs regular clients and customers of new products or services, listens to and resolves service complaints., • Sets up merchandise and sales promotion displays or issues sales promotion materials to customers., • Accountable for all receipt of goods, invoices, delivery tickets, cash received or collected and product., • Performs other duties as assigned. Qualifications: • 3 years driving experience required., • Valid Non-CDL Class C (unless otherwise indicated by state) driver's license, ensuring safe operation of company vehicles in accordance with traffic laws and conditions., • Preferred 1-2 years experience in a customer service position, or a minimum of 1 year of related experience., • Proficient with handheld computer, training provided., • Must be able to lift 50 lbs. on a consistent basis., • Ability to operate or willingness to learn material handling equipment (box truck, handcarts, etc.)., • Able to work independently, responsible for route, work unsupervised 98% of the work day. In addition to competitive compensation and excellent benefits, successful employees in this position enjoy: • Comprehensive training, • Advancement opportunities, • Working in a fast paced environment, • Working independently, • Providing excellent customer service to established customers Full-time and part-time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program Full-time positions also offer the following benefits to associates: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. About Compass Group: Achieving leadership in the foodservice industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Applications are accepted on an ongoing basis. Canteen maintains a drug-free workplace. Req ID:1490039 Canteen We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act.

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications [choose correct set based on focus of role]: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

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

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

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

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

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job Description Summary The robotics team technician plays a critical hands-on role supporting the Robotics & Computer Vision team at GE Vernova Advanced Research. This position provides CAD-to-fabrication support, light machining and assembly, and day-to-day ownership of laboratory spaces and equipment. Working closely with engineers and researchers, the Technician helps transform designs and ideas into physical prototypes by preparing CAD files for fabrication, operating and maintaining lab equipment, and contributing practical insights that improve manufacturability, usability, and reliability. This role also serves as a steward of the robotics lab environment, ensuring tools, equipment, and spaces are safe, organized, and ready to support fast-moving research and development work. The Robotics team values collaboration, craftsmanship, and shared ownership. This is a hands-on role for someone who enjoys building, maintaining, and improving things - and who takes pride in enabling others to do their best technical work. Job Description Key Responsibilities Fabrication & CAD/CAM Support * Support engineers by converting CAD designs into fabrication-ready files with expertise in and through understanding of CAM software and 3D printing slicers. * Fabricate robotic components and prototypes using CNC machines, 3D printers, and external PCB manufacturing services. * Perform light machining, assembly, and finishing of prototype components. Lab Ownership & Equipment Maintenance * Maintain and organize robotics laboratory spaces, ensuring tools, materials, and equipment are operational and readily available. * Schedule, perform, or coordinate maintenance on lab equipment including 'fit and finish' metalworking equipment, 3D printers, laser cutters, and related tools. * Maintain required supplies, tooling, and consumables for fabrication activities. Job Scheduling & Coordination * Manage a queue of fabrication/assembly and lab support requests, including scheduling, prioritization, and job logging. * Coordinate closely with engineering teams to align priorities and delivery timelines. Technical Collaboration * Participate in technical discussions with engineers to provide input on designs for ease of fabrication, ergonomics, repairability, and operation. * Independently troubleshoot and resolve mechanical and fabrication-related issues where objectives are defined but solutions require judgment and experience. Laboratory Operations & Safety * Maintain standard laboratory equipment and facilities, including calibration of instruments and monitoring devices. * Develop, maintain, and follow relevant Environmental, Health, and Safety (EHS) documentation and procedures. * Perform all work in accordance with GE Vernova EHS guidelines and compliance policies. Documentation & Reporting * Document test setups, fabrication procedures, and key results or findings. * Perform basic data processing and prepare reports using tools such as Microsoft Excel and Word. Qualifications / Requirements * Associate degree in Mechanical Engineering or a related field with a focus on machining, fabrication, and mechanical design OR High School Diploma with a minimum of 8 years of relevant hands-on experience, with a focus on robotics, machine design, or prototyping. * Substantial experience fabricating test fixtures and prototype components for robotics or electromechanical systems. * Experience using electrical assembly tools such as crimping and soldering to support robotic prototype assembly. * Demonstrated ability to work independently, manage multiple tasks, and deliver quality work to defined objectives. * Legal authorization to work in the U.S. is required. This role is not eligible for immigration or visa sponsorship. * This position requires access to information and technology subject to U.S. export control laws; only "U.S. persons" as defined by law may be considered. * Must be willing to work on-site at GE Vernova Advanced Research in Niskayuna, NY . Desired Characteristics * Familiarity with Solidworks and a CAM package, (bonus if familiarity as well with AutoCAD) * Hands-on experience with 3D printers, lathes, CNC mills, and laser cutters. * Familiarity with lab and experiment tools such as Python, G-code, LabVIEW, or similar and a willingness to learn new software packages * Strong organizational skills and a demonstrated track record of completing tasks and deliverables on schedule. * Pride in craftsmanship, lab ownership, and maintaining high standards of safety and quality. * Collaborative mindset and enjoyment of working closely with engineers and researchers. Why Join the Robotics Team The Robotics & Computer Vision group at GE Vernova Advanced Research is a close-knit, collaborative team that values technical excellence, mutual respect, and shared success. Technicians are treated as essential partners in the work - not just support staff - and their experience and judgment are trusted and respected. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. ? Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer () . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No For candidates applying to a U.S. based position only: *The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. This posting is expected to remain open for at least seven days after it was posted on February 12, 2026. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance and 12 paid holidays. New hires also receive 40 hours of personal business time, 160 hours of personal illness and caregiving time (subject to state law), and two weeks of annual vacation (which may be pro-rated based on start date). GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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

Your Impact at Lowe's As a Customer Service Associate, you combine top-notch customer service skills with genuine care for people to help customers feel comfortable while shopping at Lowe's. This is an excellent role for those who want to engage with customers and help them solve their home improvement challenges. How We Support You Whether you need a part-time position or a place to plant yourself and grow, Lowe's is ready to support your goals. As a Lowe's associate, you'll gain access to many benefits beyond competitive pay and flexible schedules. * Make your well-being a priority with multiple top-tier health insurance options. * Explore educational opportunities with Lowe's tuition assistance program. * Take charge of your financial future with a company-matching 401(k) and optional Employee Stock Purchase Program. * Gain extra savings with a 10% Associate Discount. * Learn new trade skills with our Track to the Trades program. For information about our benefit programs and eligibility, please visit . Your Day at Lowe's As a Customer Service Associate, you will welcome customers to Lowe's and help them find the right products and services for their home improvement needs. You will interact with customers throughout the day, help them find and select products, occasionally load merchandise, and ensure all customer needs are met. While you will spend most of your time listening to customers, answering questions, and organizing merchandise, your daily responsibilities may vary by department. Customer Service Associates work in one of the following departments, based on hiring needs and skillsets: Appliances, Cabinets, Flooring, Live Nursery, Inside Garden, Hardware, Tools, Millwork, Building Materials, Plumbing, Electrical, Paint, Home Décor, Tool Rental, or Pro Services. Key Responsibilities * Welcome customers to Lowe's, answer questions, and deliver friendly and professional customer service. * Assist customers with locating and handling merchandise * Down stock merchandise by looking for empty areas on shelves and replenishing supplies * Process orders and deliveries accurately so customers receive merchandise as expected and on time * Cross-functionally train in other areas of the store to help deliver the best customer service * Prepare merchandise in your department based on customer needs (e.g., tint and mix paint, cut and thread pipe, cut and bundle wood, cut drywall, cut blinds) * Guide customers through shopping or checkout * Complete other duties as assigned Minimum Qualifications * 6 Months Experience using a computer, including inputting, accessing, modifying, or outputting information * 6 Months Experience using common retail technology, such as smart phones and tablets * Reading, writing, and performing basic arithmetic (addition and subtraction) * Able to perform duties that may require prolonged standing, sitting, and other activities necessary to perform job duties * Minimally lift 25lbs unassisted or over 25lbs with or without an accommodation Preferred Qualifications * 6 months of Retail and/or customer service experience * Bi-lingual skills * Certification in trade related to department (e.g., hardware, kitchen, plumbing, electrical, lawn and garden, and lumber/building materials) Lowe's commitment to growth and teamwork extends to the community as well. To better equip our stores and serve our communities, we strongly encourage bilingual, military, and veteran talent to apply and join our team. Travel Requirements This role does not require regular travel; however, this role may need to travel occasionally to meetings, training, or to support neighboring stores. Working Conditions Environmental factors vary by location. You may be working in both inside and outside weather conditions. Exposure to varying climates, including extreme heat or cold, wet, damp, humid, windy, or drafty conditions, is possible. You may be exposed to constant or intermittent noises in addition to moving or shaking objects and equipment. Lifting methods vary based on role, weight, and volume. Associates must follow guidelines, limiting single lifts to 75 pounds. Team lifts are used minimally starting at 75 pounds or when needed. Powered equipment should be used as required, with proper training or assistance from a trained coworker. About Lowe's Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Pay Range: $16.50 - $17.20 per hour Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit . Associate Benefits ( ) * Working at one of the largest retail companies has its perks. We offer exceptional benefits and wellness programs for eligible full-time and part-time associates, tailored for many different lifestyles. Our benefits range from health, vision and dental insurance to paid vacation, tuition assistance and parental and family-building benefits. Plus, we offer learning and development opportunities to help our associates grow their skills and achieve their goals. * Health, Dental and Vision insurance * Life and Disability insurance * Paid time off based on role, tenure, and locality, including vacation, holidays, sick and volunteer time * Flexible spending and health savings accounts * 401(k) Retirement account with company match * Employee Assistance Program with concierge, work/life services and no-cost counseling for all kinds of needs * Education support programs, including tuition assistance and trade skills scholarships * Business Travel Accident insurance * Maternity and Parental leave * Adoption assistance * Lowe's Associate Discount and broad discount platform * Other discretionary benefits (based on eligibility) include annual bonuses, enrollment in Lowe's Employee Stock Purchase Plan and/or deferred compensation plan, and grant awards . Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Pay Range: $16.50 - $17.20 per hour Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit .

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

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

Nurse Practitioner (NP) or Physician Assistant (PA) – Veteran Disability Assessments We are seeking a dedicated Nurse Practitioner (NP) or Physician Assistant (PA) to join our team in performing medical assessments for U.S. Veterans as part of the VA's disability benefits process. This role involves conducting focused, in-person physical exams and reviewing medical records electronically to complete the required documentation for the VA. The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Key Responsibilities: · Conduct in-person disability assessments for U.S. Veterans. · Review and analyze electronic medical records via a secure web portal. · Accurately document exam findings and complete the required VA forms. · Provide medical opinions based on your assessment findings. Note: This role does not involve treatment or prescribing medication. Disability determinations are made by the U.S. Department of Veterans Affairs (VA), not by the provider. Position Details: · Schedule: Part-Time: 3 days/week · Location: In-person role. · Caseload: 3-5 Veterans per day. · Equipment Provided: Computer and all necessary tools for documentation. What We’re Looking For: · A compassionate provider dedicated to supporting the Veteran community. · Strong analytical skills to review medical records and assessment data. · Excellent time management and ability to meet deadlines. · Proficient in electronic documentation and web-based portals. · A professional and empathetic demeanor when interacting with Veterans. Requirements: · Active, unrestricted Nurse Practitioner (NP) or Physician Assistant (PA) license. · Comfortable using technology to review records and complete documentation. Compensation & Benefits: · Competitive salary $63,000 – $69,000 per year (commensurate with experience) · Health insurance & 401K benefits available. · Malpractice Insurance covered. · Training and ongoing support provided. · Predictable schedule with no on-call duties. Is This Role Right for You? · Do you find it rewarding to serve and support Veterans ? · Are you looking for a structured role with no on-call shifts? · Would you enjoy performing focused medical assessments without treatment responsibilities? If so, apply today and become part of a meaningful mission to support those who served our country! xkddfxh PandoLogic. Keywords: Nurse Practitioner (NP), Location: Schenectady, NY - 12301

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

Senior Machine Learning Engineer (KServe Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionDescription: PVA is hiring a Sales Support Administrator to join our growing team in robotic automation. We are a five-time Albany Business Review Best Places to Work and Healthiest Employer award winner, recognized for combining cutting-edge technology with a strong, supportive culture. If you're ready to take the first step in your sales career, we would love to connect. Job Description: The Sales Support Administrator is responsible for supporting and maintaining the sales systems, processes, and data for PVA. This position ensures records are accurate, complete, and aligned with customer and business requirements which ultimately impacts the revenue and long-term profitability of the company. Job Details: • 8:00 am - 4:30 pm Monday-Friday, • Starting pay $24.00 - $32.00 per hour, • Salesforce (CRM) administration, including maintaining clean and accurate records and managing opportunities., • Review all incoming machine orders, identify and correct errors prior to processing., • Enter sales orders, process sales order changes, and apply PPA shipping charges as needed., • Provide Salesforce training and ongoing support., • Manage the master price list, including price increases, additions, and changes., • Maintain and manage the quote log., • Manage and update Word-based quote templates., • Manage quote templates and sales pricing within Epicor (ERP)., • Maintain Epicor customer records, including new customers, ship-to, bill-to, and alternate bill-to records., • Set up sales rep accounts and workforce entries in Epicor., • Provide Epicor training and ongoing support., • Develop and pull sales and customer analytics utilizing multiple applications., • Create projects with defined milestones., • Attach sales orders to projects and create associated serial number jobs., • Record serial numbers in sales orders and ensure proper linkage., • Create and maintain project folders for documentation and tracking., • Pull sales reports and data for customer accounts as needed., • Manage NDAs and supplier forms., • Support onsite customer visits and tours as needed., • Provide account management support for key accounts as needed., • Maintains confidentiality of customer information 100% of the time. Requirements: • Demonstrates a customer-centric mindset, dedicated to delivering exceptional support to both internal and external stakeholders., • Strong verbal communication and listening skills; ensures that information is passed on to others who should be kept informed., • A self-motivated professional who thrives both independently and collaboratively in team environments., • Performs effectively in fast-paced, dynamic settings, maintaining focus and adaptability., • Exhibits sound judgement; anticipates the implications and consequences of situations and takes appropriate action to be prepared for possible contingencies., • Maintains a calm, professional demeanor when navigating challenging or high-pressure situations., • Efficiently manages multiple projects and competing priorities with urgency, accountability, and follow-through., • Highly organized, detail-oriented, and analytical, ensuring precision and consistency in work., • Creates vision and develops direction to ensure focused attention., • Exhibits a strong sense of initiative and continuous improvement., • Creates cost-effective solutions., • Strong computer and excel skills., • Salesforce CRM experience, preferred., • Epicor ERP experience, preferred. PVA provides competitive salaries with a rich benefits package including medical, dental, and vision insurance; free onsite health center; employer paid Life, AD&D, and long-term disability insurance; employee assistance program; paid holidays, vacation, and sick time; paid parental leave; 401k savings with company match; new employee mentorship program. PVA is committed to complying with all applicable federal, state, and local laws that prohibit discrimination on the basis of race (including traits historically associated with race), color, national origin, citizenship or immigration status, age, religion, creed, sex (including pregnancy), sexual orientation, gender identity or expression, the status of being transgender, disability (including pregnancy related conditions), genetic information, predisposition and carrier status, military or veteran status, marital and familial status, domestic violence victim status, reproductive health decision making, prior convictions or arrests, known relationship or association with any member of a protected class, or any other characteristic protected by applicable law.

Job DescriptionTeam Description:Kitware’s Open Source Software Technology Program (OSTP) seeks to recruit hard-working, talented, and curious new graduates with Computer Science and Computer Engineering bachelor’s degrees to work on exciting open-source projects at Kitware while earning a master’s degree in Computer Science. The OSTP is a three-year program in which members will work on a variety of projects, learn open-source processes, and build technical leadership skills while completing the master’s degree. About the Projects:The program allows bachelor-level graduates to gain valuable real-world expertise in open-source software development and earn a master’s degree while earning a competitive salary. Members of the OSTP will learn to develop innovative open-source software platforms with global impact in the areas of computer vision, scientific computing, data and analytics, medical computing, and software solutions. The OSTP requires both work and study over the three-year program period; program members must work 32 hours per week onsite at our Clifton Park, NY office during college semesters and approximately 40 hours per week on-site during summers. Subject to our tuition reimbursement payback requirements, Kitware will reimburse 100% of educational expenses for the master’s degree (including tuition, books, equipment, fees, and supplies). This position is only available at our Clifton Park, NY location. Employment Visa sponsorship is not offered for this position.In This Position You Will: • Gain a deep understanding of what it takes to create and maintain powerful open-source software platforms, • Learn the technical and business knowledge to become leaders at Kitware, • Be taught the fundamentals of project leadership skills and learn how to acquire funding to develop open source platforms, • Gain a Master’s degreeRequired Qualifications:, • Completing a bachelor’s degree in computer science or computer engineering in Spring 2026. (December 2025 graduates will also be considered.), • Demonstrable programming experience from undergraduate projects or internships, • Programming experience in C++ and Python, • Strong communication skills, • Due to contractual requirements, this position requires US Citizenship and a willingness and ability to obtain and maintain a security clearance, • Full-time on-site work at Kitware’s office in Clifton Park, NYPreferred Qualifications:

Immediate contract opportunity for PM/Business /Data Analyst with direct client in New York, NY.Trigyn's direct government client has an immediate need for a PM/Business /Data Analyst in New York, NY.The details of the opportunity are below.Essential Job Functions: • Seasoned analyst with years of