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Responsibilities THIS POSITION IS FOR STRATEGIC TECHNOLOGY CONSULTING – STC, An Arcfield Company Are you ready to take your career to the next level? Join us and work on state-of-the-art systems that are critically important to our nation’s defense. We are looking for an emerging authority with technical expertise to develop innovative solutions to complex problems. If you're passionate about MBSE, cutting-edge technology and eager to make a significant impact, this is the opportunity for you. Responsibilities: • Develop and manage system requirements throughout their lifecycle., • Utilize model-based systems engineering (MBSE) tools to define system architectures., • Identify program requirements, track performance metrics, and manage the systems engineering process., • Collaborate with cross-functional teams to ensure alignment and integration of systems engineering efforts., • Perform requirements verification and compliance assessments to support major design reviews., • Apply systems engineering principles to complex defense systems, with preference for experience supporting U.S. Navy programs or developing naval system architectures (e.g., undersea, maritime, or platform-level combat and mission systems). Why Join Us? • Join a team of world-class MBSE and DE Experts., • Be part of a dynamic team working on groundbreaking projects., • Contribute to the development of state-of-the-art systems and make a lasting impact in the industry., • Exercise considerable latitude in determining objectives and approaches to assignments, giving you the freedom to innovate and excel. If you are a forward-thinking engineer with a passion for innovation and excellence, apply now to become a part of our team! Qualifications • BS 8-10, MS 6-8, PhD 3-5, • Must possess and be able to maintain an active Secret Clearance., • Experience supporting U.S. Navy acquisition programs or engineering of undersea or maritime platforms (e.g., submarines, shipboard combat systems, or integrated mission systems) is strongly preferred., • Experience with one or more of the following:, • NoMagic, • MagicDraw, • Cameo, • SysML, • UPDM This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $105,199.68 Max: $252,793.25 EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA. As part of our team, you will focus on improving the robustness and efficacy of sensors and signals in complicated environments. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs. You'll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career; motivated candidates may have an opportunity to lead tasks as well. Regular tasks will include: • Develop, model, and test algorithms in Matlab, Simulink, or C++, • Analyze results from simulation or real data to identify root causes and trends, • Develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains, • Participate in lab-based and field testing, • Support marketing and business development initiatives, • Engage in multiple projects, interacting with Customers as well At Leidos, we offer competitive benefits , including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare! Required Qualifications: • Must be U.S. Citizen, • Active Secret clearance and eligible to obtain a TS/SCI level clearance, • Bachelors of Science in Electrical Engineering, Physics, Computer Science, Mathematics or related field, • 4+ years' experience in radar signal processing, • Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc., • Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes, • Demonstrated strong oral and written communication, • Ability to work in a team environment, as well as independently, • Adaptability to new challenges with a strong motivation to grow and learn in new areas Preferred Qualifications: • Active TS/SCI clearance preferred, • Master's Degree in Electrical Engineering, Physics, Computer Science, Mathematics or related field, • Task lead or team leadership experience, • Experience translating functional requirements into tasks, • Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development synthetic aperture radar (SAR) or similar fields NKE ElectronicWarfare If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. January 26, 2026 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 $87,100.00 - $157,450.00 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.

Inova Mount Vernon Hospital is seeking a Rehabilitation Registered Nurse to join the Inpatient Rehabilitation Unit Part Time Day Shift. This is an acute, inpatient rehab unit providing care to patients with spinal cord and traumatic brain injuries, post-cerebral vascular accidents, transplant, stroke and more. Work schedule: 12 hour shifts (7 am - 7pm) Inova Mount Vernon Hospital is a Magnet recognized 237-bed hospital offering patients convenience and state-of-the-art care in a community environment. Our hospital sits on 26 acres of beautifully landscaped open space, where patients can find moments of serenity in our specially designed gardens. Inova Mount Vernon Hospital is home to the nationally recognized Inova Joint Replacement Center and Inova Rehabilitation Center. Both are ranked among the top orthopedic and rehabilitation programs in the country. It also is the administrative and clinical home for the Inova Wound Healing Center, the regions' largest and most experienced. Inova is consistently ranked a national healthcare leader in safety, quality and patient experience. We are also proud to be consistently recognized as a top employer in both the D.C. metro area and the nation. The Rehabilitation Registered Nurse achieves desired patient outcomes using an integrated approach and applying rehabilitation regulatory and payer requirements in clinical practice as appropriate. Ensures improvements in practice settings by providing direction and guidance to others regarding practice and serving as a resource, preceptor and mentor. Successfully makes decisions and solves problems while providing knowledgeable caring clinical practice and care coordination through an understanding of patients, families, nurses and healthcare delivery teams Registered Nurse Job Responsibilities: • Performs patient assessments to collect basic data. Follows written plans of care, standards and practice guidelines while utilizing pathways under the supervision of an experienced RN. Utilizes assessment data and patient preferences to identify patient care needs., • Organizes, prioritizes and delivers patient care to assigned patients by utilizing Inova's Nursing Professional Practice Model and Care Delivery Model (i.e. procedures, therapies, tests and patient education) to achieve desired outcomes. Monitors patients' progress toward expected outcomes and adjusts plans of care accordingly., • Provides compassionate and empathetic hands-on care while maintaining patient privacy and confidentiality., • States rationale for clinical decisions based on educational knowledge, principles and evidence-based practices., • Works efficiently within the healthcare team to achieve maximum productivity and identified outcomes., • Accurately documents all patient care activities, as per documentation standards, and seeks assistance from others to further develop documentation skills., • Participates in multidisciplinary rounds and meetings as an active member of the healthcare team., • Successfully integrates novice nursing abilities with new knowledge and the capacity to incorporate and transfer these skills into the delivery of safe/high quality patient care. Identifies and seeks out members of the healthcare team as a resource to increase practice/knowledge while seeking validation of clinical decisions from unit resources. Showcases openness to feedback, mentoring and suggestions from colleagues to implement change and enhance care., • Attends and participates in all learning sessions assigned for successful completion of the Registered Nurse (RN) Fellowship. Completes all assignments (e.g. classroom work, computer-based learning modules, laboratory simulations and assigned readings on time and is able to recall, comprehend and apply them in the classroom and clinical settings). Demonstrates a willingness to learn new skills, verbalize reasoning and demonstrate use of equipment and supplies involved in providing safe/high quality and effective patient care., • May serve as a preceptor following appropriate orientation and competency completion., • Performs other duties as assigned Registered Nurse Requirements: • Education: BSN from an accredited school of nursing If RN has an Associate's Degree (ADN); must complete BSN within 5 years of start date, • Experience: A minimum of 1 year of Registered Nurse clinical experience. This position will consider RN's with LTC, Rehab, Home Health and Outpatient experience, • prior Inpatient or sub-acute Rehabilitation nursing or Medical/Surgical; Med/Surg Tele unit experience.

Inova Fairfax Hospital is currently seeking a passionate and dedicated RN Unit Supervisor to join our EmPATH Psychiatric Observation Unit on the night shift. This is a full-time position with a 3 x 12-hour shift schedule (7:00 pm to 7:30 am). We welcome Registered Nurses who are enthusiastic about working with the psychiatric patient population and are eager to make a positive impact in this specialty. Inova is consistently ranked a national healthcare leader in safety, quality and patient experience. We are also proud to be consistently recognized as a top employer in both the D.C. metro area and the nation. Featured Benefits: • Committed to Team Member Health: offering medical, dental and vision coverage, and a robust team member wellness program., • Retirement: Inova matches the first 5% of eligible contributions - starting on your first day., • Tuition and Student Loan Assistance: offering up to $5,250 per year in education assistance and up to $10,000 for student loans. The Registered Nurse (RN) Unit Supervisor serves as a front line leader who is accountable for delivering highly reliable results related to quality and best practices to improve the clinical operations of the unit. Embraces, uses and understands the research behind nursing practice and quality tools. Supports unit based shared governance and decentralized decision making structures and processes. Acts as a role model who leads by example in delivering "Service Always" and in making patient experience a priority on units of responsibility. Seeks every opportunity to meet the unique needs of each person Inova Health System is privileged to serve - every time, every touch. Serves as an engaged team member who is empowered to support Inova's "People Priority" by providing genuine acts of care, appreciation, recognition, coaching, mentoring and encouragement to all members of the healthcare team, in order to further enculturate Inova's care delivery model and results for all of Inova's strategic priorities. Job Responsibilities: • Staffing, • Patient review and placement, • Serve as a resource to Charge Nurse and staff, • Responds to all events on units, • Assists with orientation, • Conducts chart and environmental audits per Joint Commission standards, • Coaching and education of staff Minimum Qualifications: • Certification - Basic Life Support; Completion of a revised Charge Nurse workshop within 3 months of hire, • Licensure - Licensed Registered Nurse in the Commonwealth of Virginia, • Experience - 1 year of experience as a Registered Nurse, • Former psychiatric experience strongly preferred

Inova Mount Vernon Hospital is seeking a Rehabilitation Registered Nurse to join the Inpatient Rehabilitation Unit Full Time Day Shift. This is an acute, inpatient rehab unit providing care to patients with spinal cord and traumatic brain injuries, post-cerebral vascular accidents, transplant, stroke and more. Work schedule: 12 hour shifts (7 am - 7pm) Inova Mount Vernon Hospital is a Magnet recognized 237-bed hospital offering patients convenience and state-of-the-art care in a community environment. Our hospital sits on 26 acres of beautifully landscaped open space, where patients can find moments of serenity in our specially designed gardens. Inova Mount Vernon Hospital is home to the nationally recognized Inova Joint Replacement Center and Inova Rehabilitation Center. Both are ranked among the top orthopedic and rehabilitation programs in the country. It also is the administrative and clinical home for the Inova Wound Healing Center, the regions' largest and most experienced. Featured Benefits: • Committed to Team Member Health: offering medical, dental and vision coverage, and a robust team member wellness program., • Retirement: Inova matches the first 5% of eligible contributions - starting on your first day., • Tuition and Student Loan Assistance: offering up to $5,250 per year in education assistance and up to $10,000 for student loans., • Mental Health Support: offering all Inova team members, their spouses/partners, and their children 25 mental health coaching or therapy sessions, per person, per year, at no cost., • Work/Life Balance: offering paid time off, paid parental leave, flexible work schedules. The Rehabilitation Registered Nurse achieves desired patient outcomes using an integrated approach and applying rehabilitation regulatory and payer requirements in clinical practice as appropriate. Ensures improvements in practice settings by providing direction and guidance to others regarding practice and serving as a resource, preceptor and mentor. Successfully makes decisions and solves problems while providing knowledgeable caring clinical practice and care coordination through an understanding of patients, families, nurses and healthcare delivery teams Registered Nurse Job Responsibilities: • Performs patient assessments to collect basic data. Follows written plans of care, standards and practice guidelines while utilizing pathways under the supervision of an experienced RN. Utilizes assessment data and patient preferences to identify patient care needs., • Organizes, prioritizes and delivers patient care to assigned patients by utilizing Inova's Nursing Professional Practice Model and Care Delivery Model (i.e. procedures, therapies, tests and patient education) to achieve desired outcomes. Monitors patients' progress toward expected outcomes and adjusts plans of care accordingly., • Provides compassionate and empathetic hands-on care while maintaining patient privacy and confidentiality., • States rationale for clinical decisions based on educational knowledge, principles and evidence-based practices., • Works efficiently within the healthcare team to achieve maximum productivity and identified outcomes., • Accurately documents all patient care activities, as per documentation standards, and seeks assistance from others to further develop documentation skills., • Participates in multidisciplinary rounds and meetings as an active member of the healthcare team., • Successfully integrates novice nursing abilities with new knowledge and the capacity to incorporate and transfer these skills into the delivery of safe/high quality patient care. Identifies and seeks out members of the healthcare team as a resource to increase practice/knowledge while seeking validation of clinical decisions from unit resources. Showcases openness to feedback, mentoring and suggestions from colleagues to implement change and enhance care., • Attends and participates in all learning sessions assigned for successful completion of the Registered Nurse (RN) Fellowship. Completes all assignments (e.g. classroom work, computer-based learning modules, laboratory simulations and assigned readings on time and is able to recall, comprehend and apply them in the classroom and clinical settings). Demonstrates a willingness to learn new skills, verbalize reasoning and demonstrate use of equipment and supplies involved in providing safe/high quality and effective patient care., • May serve as a preceptor following appropriate orientation and competency completion., • Performs other duties as assigned Registered Nurse Requirements: • Education: BSN from an accredited school of nursing If RN has an Associate's Degree (ADN); must complete BSN within 5 years of start date, • Experience: A minimum of 1 year of Registered Nurse clinical experience. This position will consider RN's with LTC, Rehab, Home Health and Outpatient experience, • Certification: Licensed or eligible for licensure in the Commonwealth of Virginia as a Registered Nurse or an active multi-state Registered Nurse license. BLS from American Heart Association (AHA) RN Rehab Preferred Qualifications: • prior Inpatient or sub-acute Rehabilitation nursing or Medical/Surgical; Med/Surg Tele unit experience.

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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 (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).

Description Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems. The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs. The successful candidate will be responsible for: * Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing. * Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes * A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing complex signal processing chains into discrete components and kernels * Hand crafting bespoke CUDA kernels for high performance * Designing and implementing multi-threaded software architectures * Designing, implementing, and testing high speed data transfer / Latency codes * Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks * Build software products that utilize third party mathematics and communication libraries * Interface communication standards / protocols such as TCP/IP, UDP, and DDS * Work with Linux operating system as well as experience with real-time operating systems * Designing, implementing, and testing software to configure and control RF hardware devices * Documenting the developed systems * Support system field testing and collection events * Must be willing to travel up to 10% of the time At Leidos, we offer competitive benefits , including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare Technology! The successful candidate will have the following education/experience: * Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science * 8+ years of software development experience, including strong experience in C/C++ software development * Experience with Government open architectures for real-time systems, such as Big Iron or Cobra * Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND * Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins) * Must have active Secret level security clearance with the ability to obtain a TS/SCI. Bonus education/experience: * Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent * Existing security clearance higher than the Secret level * Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow * Experience with MATLAB GPU coder tool * Experience with High Performance Computing including parallel and distributed computation * Experience with Model-Based Design code generation practices * Experience with cloud-based computing platforms, such as Amazon Web Services (AWS) * Experience with other programming languages such as Python and/or Java NKE ElectronicWarfare If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. February 12, 2026 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 $107,900.00 - $195,050.00 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.

Description Data Architect/Scientist Are you looking for an opportunity to make an impact? 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 sustainably. 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. If this sounds like the kind of environment where you can thrive, keep reading! Leidos is seeking an AI/ML Data Scientist to support an enterprise IT program for an Intelligence Community client. Qualified candidates will possess strong skills in PL/SQL, Java, AWS, BASH, Linux, familiarity with Oracle, Linux user knowledge preferably with CENTOS or Rocky, and will be comfortable with JIRA, Git, & Nexus. The ideal candidate will have an analytical mind with a forward-leaning attitude and experience as a database programmer. The work you'll be doing in this role has direct mission impact. As the sole data scientist on the team you'll leverage your strong communications skills and prior experience supporting this client to collaborate with both the development and the management teams, work independently, and come up with ad hoc solutions. Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your resume with us today! In this role you will support a client who has multiple application teams supporting a portfolio which is the central repository for all the client's created applications. This includes state of the art systems on cloud, physical systems and applications based on products such as AWS, Oracle, SharePoint, and other web-based solutions. You will provide support specializing in data architecture to develop data solutions to ensure the client's information is stored effectively and securely, system requirements are analyzed, and implement migration methods for existing data. The selected Data Scientist will do the following: • Provide complex data analysis, leveraging advanced analytics and AI techniques to drive insights and inform decision-making., • Design and implement research studies, acquire and analyze large datasets, and develop statistical models and ML algorithms to identify trends and patterns., • Work collaboratively with internal and external partners to identify and close gaps in intelligence analysis, • Apply AI and ML techniques to improve analytical capabilities. Duties in this role shall include: • Develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards,, • Monitor industry trends and directions in database technology and tools,, • Develop and present substantive technical recommendations to the client,, • Oversee the design, evaluation, selection, implementation and support of major databases and metadata structures,, • Review and evaluate database performance and risk and financial analysis feasibility studies,, • Oversee the strategic structural design and development of databases and metadata,, • Provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes,, • Provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance,, • Provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases,, • Provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures,, • Review and assess technical proposals requesting changes or upgrades to the existing databases,, • Serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development,, • Strategically plan new designs for integration into a database structure, using knowledge of the characteristics of the systems being added to the structure and the specifications for database interfaces to ensure effective integration and optimal database performance,, • Develop methods of ensuring data incompatibilities among systems are systematically eliminated,, • Diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure. Required Security Clearance: • Active TS/SCI with Polygraph is required. Required Experience, Skills, and Education: • Bachelor's degree and 12+ years of experience or Master's degree with 10+ years of experience. Additional experience may be substituted in lieu of a degree., • Demonstrated experience with Github, Jenkins, and Nexus., • Demonstrated experience with VSCode and Eclipse., • Demonstrated experience and familiarity with data science frameworks like Tensorflow (1.x and 2.x), Keras, and Theano., • Demonstrated experience and familiarity with Test Frameworks: JUnit, Swagger, Postman, • Demonstrated experience with Jenkins, Kubernetes, Ansible, Terraform., • Demonstrated experience with on-prem and cloud environments., • Demonstrated experience and expertise AWS / C2S., • Demonstrated familiarity with LLM Architectures., • Demonstrated experience in data architecture., • Demonstrated experience with and understanding of database structure principles, • Demonstrated experience in data modeling and design, including SQL development and database administration., • Demonstrated experience in data visualization, data migration and data modeling., • Demonstrated experience in relational database management systems (DBMS)., • Demonstrated experience in DBMS software, including SQL Server, Oracle, MySQL, PostGres., • Demonstrated experience in database and cloud computing design, architectures and data lakes., • Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport., • Demonstrated experience gathering and analyzing system requirements., • Demonstrated experience with Version control systems such as Git., • Demonstrated experience with programming languages Java and Python., • Demonstrated experience with Linux (OS & scripting), • Demonstrated experience with Agile development methodologies and JIRA., • Demonstrated experience working in a fast-paced, technically challenging area; ability to anticipate and manage changes or problems; assess impacts and recommend sound solutions., • Demonstrated experience in systems development, including system development life cycle, project management approaches and requirements, and design and testing techniques. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. February 2, 2026 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 $131,300.00 - $237,350.00 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.

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 theCapital 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-part

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 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 theCapital 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 technica

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. Sales Territory: $209,000 - $238,500 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).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) 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. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. 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 Agentic AI Research PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior Knowledge Graph Research PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques 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).

Licensed or Pre-Licensed Therapist (W-2) | Specialty-Focused, Growth-Oriented (e.g., LMSW, LCSW, LGPC, LPC, or equivalent) The Counseling Center Group (CCG) is a specialty-focused, private-pay group practice seeking licensed and pre-licensed clinicians with an interest in working with children and adolescents who value high-quality, evidence-based care, professional autonomy, and long-term growth. We support clinicians in practicing within their areas of interest and expertise while providing the infrastructure needed to build a strong, sustainable caseload serving children, adolescents, and families Who This Role Is For We're seeking clinicians who: * Are licensed or pre-licensed (LMSW, LCSW, LGPC, LPC, or equivalent) • Have experience or a strong interest in working with children and/or adolescents Have training or strong interest in an evidence-based modality (DBT, EMDR, Gottman, ART, CBT, or similar) * Are motivated to deepen specialization over time * Value thoughtful, goal-directed clinical work * Are open to training, consultation, and continued development (Supervision and support available as needed.) What Your Work Looks Like * Full-time clinical role (approximately 25–30 sessions per week) Autonomy over your schedule and clinical approach * Private-pay model with a supported ramp-up period * Opportunity to increase rates over time as clinical skill, outcomes, and experience grow Clinicians typically build full caseloads within a few months and, once established, are able to earn strong, sustainable incomes while maintaining clinical integrity. What We Provide * Competitive compensation * Health benefits and 401(k) * Full administrative support (intake, billing, scheduling, marketing) * Furnished office space and/or remote options * Ongoing consultation, training, and supervision as needed * A collaborative, experienced clinical community * Access to CEUs and clinical enrichment A Meaningful Path for Growth CCG offers a real opportunity for advancement, which is uncommon in most therapy roles: * Clinician ? Clinical Manager ? Clinical Director * Leadership roles are supported and developed over time * We are open to experienced clinicians currently in private practice, who may step into Clinical Manager or Director roles more quickly, depending on experience and fit To apply: Send your resume and brief note of interest to

Job Description Summary The Systems Office Installer will be responsible for the assembly/disassembly of household furniture, modular and systems office furniture, and wall mounting of Office artwork and televisions. Must have the ability to read and interpret floor plans, sketches, and/or diagrams to install/assemble various products including, but not limited to, modular/systems furniture, artwork, office furniture, home or office products. Essential Duties and Responsibilities include the following: • Ability to establish and maintain a strong customer focused working relationship, • Familiarity of the installation processes with various types and manufactures systems furniture, • Installs various types of wall mounted TVs/electronics, modular furniture, pictures, wall art and mirrors on various types of wall surfaces and construction, per customer specifications, • Assists with loading/unloading furniture into and out of trucks, warehouses, and on jobsites; to include unpacking of furnishings and other duties as assigned, • Ability to read floor plans, sketches, and diagrams to determine proper placement and installation of various products, • Owns and maintains a set of tools for the assembly/disassembly/reassembly and installation of various furniture, both residential and commercial/office; as well as the mounting of TVs/electronics, artwork and mirrors, • Ability to provide viable repairs to furnishings, as required, • Adheres to all OSHA regulations in accordance with Company Safety Policy, • Actively participates in moving materials, equipment, furniture, household goods including the packing and crating of valuables and hard-to-move items, • Responsible for maintaining a clean, safe worksite and assigned truck at all times, • Attending/reviewing project briefings and demonstrations, • May travel to areas outside the local metro area to install remote projects, • Act as liaison with customer to maintain delivery schedules and overall maintenance of daily procedures, • Review deliverables prepared by team before passing to client, • Minimize company exposure and risk on project, • Ensure project documents are complete, current and stored appropriately, • Supporting Commercial and Model Home projects, as needed Deliverable Provide customer with a complete and professional installation, assembly, and wall mounting service that meets or exceeds customer and/or industry expectations. Provide job specific and Lessons Learned reports to supervisors/project management and managers, as required. Communication Effectively communicates relevant project information to superiors/project managers. Resolves and/or escalates installation issues in a timely fashion. Identify opportunities for improvement and creates a Lessons Learned report. Daily check in with superiors to advise on progress and what may need follow up. Technical Understanding Ability to add, subtract, multiply and divide in all unites of measure, using whole numbers, common fractions and decimals. Ability to read a tape measure and calculate measurements to meet centering and/or height requirements. Ability to apply technical and common sense understanding to carry out detailed written and/or oral instructions. Possesses a thorough understanding of our capabilities. Maintain awareness of new and emerging technologies and the potential applications for modular and systems furniture. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required: • Ability to read, write and comprehend English, • Prior installation experience and familiarity of systems and modular furniture, to include; wall hanging/mounting of artwork and TV/electronics on various types of wall construction and surfaces., • Possess and maintain a Driver’s License, with the ability to qualify to drive a company passenger van and/or company trucks, is a plus. Education and/or Experience High School education or GED equivalent, and at least three (3) years of furniture installation industry related experience. Language Skills Ability to read, analyze, and interpret general business, professional, and technical documents, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Reasoning Ability Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. EOE, including disability/vets

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: $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 theCapital 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 C

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. Sales Territory: $209,000 - $238,500 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 theCapital 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

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 theCapital 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 p

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 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 theCapital 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 no

Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams 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 serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring 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. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: * Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams * Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems * Lead large-scale ML initiatives with the customer in mind * Leverage cloud-based architectures and technologies to deliver optimized ML models at scale * Optimize data pipelines to feed ML models * Use programming languages like Python, Scala, C/C++ * Leverage compute technologies such as Dask and RAPIDS * Evangelize best practices in all aspects of the engineering and modeling lifecycles * Help recruit, nurture, and retain top engineering talent Basic Qualifications: * Bachelor’s degree * At least 10 years of experience designing and building data-intensive solutions using distributed computing * At least 7 years of experience programming in C, C++, Python, or Scala * At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: * Master's Degree * 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models * 3+ years of experience using Dask, RAPIDS, or in High Performance Computing * 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, or open source contributions * Ability to attract and develop high-performing software engineers with an inspiring leadership style 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: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished 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 theCapital 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 theCapital 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 Recrui

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) 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 theCapital 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, ed

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job Description Job Description We hope you're interested in building a home with us. Even if you don't feel that you meet every requirement listed in this job description, we still encourage you to apply. About the Team Our mission is to enhance the quality of our customers’ lives at home. We put the customer at the center of everything we do, every day. Our corporate values that guide our actions and decisions are our People First culture, customers, quality, shareholders, integrity, and corporate responsibility. Overview of the Lead, Stock/Fulfillment role You will model and coach on how to connect with customers, sell the lifestyle of the brand and provide exceptional service. You will execute and uphold operational standards to protect the image and interests of the Brand. You will assist the management team in maximizing individual performance and establishing routines and disciplines that maximize productivity and efficiency. Responsibilities • Oversees Back of House operational functions: Omni/fulfillment, receiving, shipping, inventory, management, stockroom organization and standards and markdown/markup execution, • Executes customer fulfillment across all (Omni) channels leveraging all services (BOPIS, SFS, STS, Home Delivery, Installation) to ensure method used meets customer’s needs while maintaining profitability and the image of the Brand, • Models, trains and coaches individual productivity and performance related to fulfillment, BOPIS/Design Crew conversion, processing, packing and stockroom standards, • Manages shipping and processing stations, product staging areas and supplies to ensure efficient receipt and packing of incoming and outgoing merchandise, • Performs routine audits and reconciliations (UPS, DIAR, Markdown) and establishes daily disciplines to eliminate loss/shrink (lost cartons, miss picks, MOS, returns, RTV), • Maintains an environment where all associates are treated fairly and with dignity and respect, in accordance with our People First Philosophy Criteria • Effective communication, organization and leadership skills. Proven ability to motivate and, • influence others through personal actions and examples, • Employment/promotion to this role will be contingent on successful completion of a background check, • 1-3 years retail sales experience with management experience preferred, • 1-2 years home related or specialty experience preferred (design, visual merchandising, or stockroom responsibilities) Physical Requirements • Must be able to be mobile on the sales floor for extended periods of time, • Must be able to lift and mobilize medium to large items, up to 75 lbs., while utilizing appropriate equipment and safety techniques, • Part-Time Flex associates must be available to work a minimum of two regularly scheduled shifts on the weekend (Friday, Saturday and/or Sunday) and two during the week (Monday to Thursday). For an associate to be scheduled 20 hours or more weekly, greater availability (beyond the minimum required above) that meets the needs of the business will be required. Weekend availability cannot fall on the same day; an associate must be available on two separate days (Friday and Saturday, Friday and Sunday or Saturday and Sunday). Benefits Just for You This role offers a competitive compensation package including pay and benefits. Pay is based on several factors including but not limited to education, work experience, certifications, geographic location etc. The anticipated pay range for this role will be: $19.00 - $20.00 per hour. Depending on your position and your location, here are a few highlights of what you might be eligible for: · A generous discount on all Williams-Sonoma, Inc. brands · A 401(k) plan and other investment opportunities · Cross-brand and cross-functional career opportunities · Online learning opportunities through brand specific resources and WSI University WSI will not now or in the future commence an immigration case or "sponsor" an individual for this position (for example, H-1B or other employment-based immigration This role is not eligible for relocation assistance. Williams-Sonoma, Inc. is an Equal Opportunity Employer. About Us Our Company Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn Kids, Pottery Barn Teen, Rejuvenation, West Elm, Mark & Graham, Outward, and GreenRow. These brands are among the best known and most respected in the industry. We offer beautifully-designed, stylish and functional products for every area of the home, including the kitchen, living room, bedroom, home office, closet, laundry room and even outdoor spaces. We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. What hasn't changed is our passion for high-quality products, functional design, outstanding customer service, and enhancing the lives of our customers and the communities where we operate. Today, we're a multi-brand, multi-channel, global enterprise supported by state-of-the-art technology and some of the most talented teams in retailing - and we're always looking for new energy and ideas.

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job Description In Virginia, our Team Jeni's Team Leaders have the opportunity to earn an average of $24.33 per hour!* *This is an estimate of hourly earnings. It is based on the 2026 base pay rate, plus 2025's hourly tip average. 2026 actual customer tips may vary. In Virginia, if the average hourly earnings of a Team Leader are less than $17 per hour in a two-week pay period, Jeni's will add the difference to the person’s paycheck so that their average hourly earnings reach $17 per hour for that pay period. Jeni’s Splendid Ice Creams is searching for part-time Team Leaders to join our The Boro team. At Jeni’s, we’re devoted to making better ice creams and bringing people together. Our scoop shops are at the heart of how we serve this mission. They are where we offer the ice creams we work so hard to build from the ground up—where people come together to share joy and conversation. We love people. We love ice cream. We view ice cream as a form of art. Team Jeni’s Team Leaders are part-time crew members who lead shifts. In addition to leading shifts, they scoop and serve ice cream to our customers, make waffle products, run the register with cash management responsibilities, keep the shop clean, change out buckets of ice cream, and perform a number of other important, related tasks. As a Team Leader, you will: * Serve the ice cream Time magazine calls “the best in America” * Gain valuable real-world business and entrepreneurship experience * Work in an environment oriented around serving each other and making people’s day * Lead shifts and act as a role model for other team members * Have opportunities for growth within a growing company * Receive competitive compensation Qualities of Team Leaders: * Exhibit passion for community, an eye for detail, a willingness to clean (a lot), stamina (to serve people in long lines), and the ability to work in a fast-paced environment * The ability to positively influence and lead a shift of ambassadors, helping them uphold the highest standards and feel supported * Resourceful and calm when challenges come up * Have great judgment, common sense, and be skillful interpersonally * Familiar with (and be able to articulate to customers) what distinguishes Jeni’s Splendid Ice Creams from other ice creams, and be able to articulate that to the 500th customer with the same care and presence as the 1st customer * Available to work weekends, late nights (past 11 p.m.) * Provide consistent, world-class service to every single customer * Reliable, on time, and ready to hustle for every shift * Committed to the well-being of their shop team, their community, and the environment around them About Jeni’s Splendid Ice Creams: Founded by Jeni Britton in 2002, Jeni's Splendid Ice Creams is a B Corp headquartered in Columbus, Ohio, with scoop shops in over twenty cities across the country, making it possible for members of Team Jeni’s who are interested in developing their careers, or transitioning to a new city, to have meaningful opportunities to learn, grow, and explore. Our Team Leaders make a difference in their shop, their community, and in how they partner with their team and serve their customers. If this opportunity sounds delicious to you, please apply. Jeni's is an equal opportunity employer. Said our way, we love and honor differences, and we love sharing common values such as talent, hustle, guts, resilience, and empathy. Our differences are a primary source of our team's strength and we crave having a team rich with diversity which is creativity and art in its human form.

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job Description In Virginia, our Team Jeni's Full Time Team Leaders have the opportunity to earn an average of $30.01 per hour!* *This is an estimate of hourly earnings. It is based on the 2026 base pay rate, plus 2025's hourly tip average. 2026 actual customer tips may vary. In Virginia, if the average hourly earnings of a Full Time Team Leader are less than $17.50 per hour in a two-week pay period, Jeni's will add the difference to the person’s paycheck so that their average hourly earnings reach $17.50 per hour for that pay period. Jeni’s Splendid Ice Creams is searching for a Full Time Team Leader to join our McLean (The Boro) team. At Jeni’s, we’re devoted to making better ice creams and bringing people together. Our scoop shops are at the heart of how we serve this mission. They are where we offer the ice creams we work so hard to build from the ground up—where people come together to share joy and conversation. We love people. We love ice cream. We view ice cream as a form of art. Full Time Team Leaders are full-time employees responsible for leading shifts and performing limited executive functions, including inventory management and handling deposits. Full Time Team Leaders act as coaches and role models for the shop team and are experts in all on-the-line operations and service functions. Full Time Team Leaders typically work variable shifts, including opening shifts, closing shifts, and/or weekend shifts. Reliable and predictable attendance is critical to this role. Full Time Team Leaders will report directly into a Shopkeeper or Shopkeeper Apprentice and their training will be specialized around all Daily Operation functions with an additional focus on training and coaching Ambassadors and communicating up to leadership, ensuring shifts run smoothly while providing world-class customer service. Qualities of a Full Time Team Leader: * Full-time presence with night and weekend availability * Passion for customer service and exemplary role model * Energetic, positive, and skillful communicator * Strong work ethic, great judgment, and good heart * Calm under pressure and handles adversity with grace * Master of daily operations and delegation * Committed to the well-being of their shop team, their community, and the environment around them Full Time Team Leaders are eligible for the following benefits: * Competitive hourly rate + tips * Full-time hours * Paid time off and holidays * 4% match on 401k contributions after 3 months of employment * A one-month paid sabbatical after 3 years of continuous service * Annual paid day to volunteer for a non-profit organization that matters to you * 50% discount at Jeni’s Scoop Shops and online * Career development toward Shopkeeper Apprentice and beyond About Jeni’s Splendid Ice Creams: Founded by Jeni Britton in 2002, Jeni's Splendid Ice Creams is a B Corp headquartered in Columbus, Ohio, with scoop shops in over twenty cities across the country, making it possible for members of Team Jeni’s who are interested in developing their careers, or transitioning to a new city, to have meaningful opportunities to learn, grow, and explore. Our Full Time Team Leaders make a difference in their shop, their community, and in how they lead their team and serve their customers. If this opportunity sounds delicious to you, please apply. Jeni's is an equal opportunity employer. Said our way, we love and honor differences, and we love sharing common values such as talent, hustle, guts, resilience, and empathy. Our differences are a primary source of our team's strength and we crave having a team rich with diversity which is creativity and art in its human form.

Job Description Job Summary Provides medical evaluations and treatment for adult and adolescent patients with chronic and acute health issues. Uses their expertise in primary care to provide high-quality health care and medical education. Collaborates within a healthcare team to improve patient outcomes and satisfaction. Comfortable working with diverse patients and staff. Provides services in accordance with Whitman-Walker Health’s mission. Role-Specific Primary Essential Duties: • Provides integrated, team-based clinical care in a state-of-the-art facility to a diverse patient population., • Treats patients using a high level of quality health care based on primary care standards of care., • Becomes an integrated part of a team approach to primary care., • Ensures coordinated medical, behavioral health addictions, legal, and nutritional care in a medical home model., • Evaluates and treats all patients with urgent and chronic medical conditions., • Performs physical examinations and other preventative health care., • Records patient data in medical records in accordance with Medicare and other payer rules and requirements., • Codes patient visits accurately using Medicare and other insurance standards., • Performs additional diagnostic and/or therapeutic clinical procedures as necessary., • Collaborates with external healthcare facilities to facilitate access to specialty and inpatient care., • Actively participates in educational activities related to HIV and primary care standards at Whitman-Walker and in the community., • Provides educational opportunities and is eager to supervise medical students, PA students, NP students, medical residents, and medical students., • Assists the medical management in developing, reviewing, and updating medical services policies and protocols., • Helps develop new protocols and policies., • Ensures compliance with local, state, and federal regulations., • Primary contacts are with patients seeking medical treatment at Whitman-Walker Health., • Works closely with the patient care teams to provide the highest quality, collaborative health care., • Work is integrated between all WWH departments and outside agencies as clinically appropriate. Role Specific- Knowledge, Skills, and Talents Required: -Excellent knowledge of primary care guidelines and standards of care. -Excellent clinical and communication skills. -Able to provide culturally sensitive medical services to a diverse client population. -Easily applies knowledge and sensitivity to gay, lesbian, bisexual, and transgender issues in healthcare. -Knowledge of local, state, and federal regulations as it relates to health care. -Able to manage and delegate work in a fast-paced medical clinic. -Able to work collaboratively and respectfully with other members of the care team Education and Experience Required -License to practice medicine in Washington, DC. required -DC DEA Certification -DC Controlled Substance License -Ability to provide culturally sensitive medical services to a diverse client population Whitman-Walker is an equal employment opportunity employer and does not discriminate against applicants, its employees, or former employees based on race, color, religion, gender, marital status, sexual orientation, national origin, age, disability, veteran status, or gender identity. For accommodation in the application process, please contact Human Resources.

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job Description Job Title: Barista Job Type: Full-time Pay: $18.50 per hour + Mystery Shopper Bonus + Tips Referral Bonus: $100.00 A Pret Barista works as part of a team in a Pret shop to ensure all drinks are served to the required Pret standard. Key focuses for the role are excellent drink quality and amazing service with Pret “Buzz”, drink counter operation, cleanliness/maintenance and team training. Key Responsibilities: Right Pret People: Barista Prepared Drinks Training * To coach and train Team Member Star and Baristas-in-training on Barista Prepared Drinks and standards * To liaise with management to ensure to ensure all Barista Prepared Drinks training is planned and carried out as appropriate * To carry out coffee team briefs and attend any relevant meetings and courses relating to Barista Prepared Drinks when appropriate * To ensure all hot drinks training material is available and up to date * To follow Pret’s dress code and be immaculately presented, wearing the correct uniform at all times Amazing Service: Creating Pret Buzz * To positively engage with customers and the team about Pret’s Coffee Story and Coffee Menu to ensure Pret Buzz * To serve Barista Prepared Drinks to the 60 seconds standards, communicating to customers and the team when this is not possible * To ‘wow’ customers with latte art Delicious Food & Drink: Excellent Barista Prepared Drinks Quality & Knowledge * To make all Barista Prepared Drinks to Pret standards * To role model coffee knowledge and to maintain an understanding about Pret’s Barista Prepared Drinks and standards Well Loved Shop: Barista Prepared Drinks Counter Operation, Cleanliness & Maintenance * To maintain the Barista Prepared Drinks equipment, Barista box and daily & weekly checks to Pret standards * To view the Barista Prepared Drinks counter through a customer’s eyes and clean as you go! * To carry out log checks, thermometer calibration and dribble tests in line with Pret standards * Shop Profitability: Barista Prepared Drinks waste control * To manage the waste levels of Barista Prepared Drinks ingredients * To action any issues relating to stock variances and waste for Barista Prepared Drinks as required by your Manager Growing Sales: Maximizing Barista Prepared Drinks sales * To have a weekly sales target and share this with the team * To know your shop Barista Prepared Drinks sales versus total sales and the mix * To use promotional waste to sample and recognize regular customers with appropriate volume of drinks via Joy of Pret Experience: Barista: 1 year (Required) Benefits: • Health, Dental and Vision Benefits, • Weekly Mystery Shopper bonus plan, • 401K retirement plan, • Generous Paid Time Off, • Company sponsored Life Insurance + STD and LTD offerings, • Child Bonding Leave, • The Pret Academy, which supports the training and development for our wonderful people, • Quarterly nationwide team events, • Free breakfast and lunch when working – including generous discounts when you’re not, • Transit program, FSA and HSAs available, • A friendly, fun, and fast paced environment with passionate teams to work with About Us: Empire JointStar (Empire) is a major retailer in the US and is an affiliate of a global organization called Dallas Holdings International (Dallas). Dallas is a strategic partner of Pret A Manger (Pret), a Food To Go and coffee shop franchise chain that serves freshly made food and organic coffee. Dallas now owns over 70+ Pret A Manger shops across the US and UK and is expanding rapidly; 50+ Pret A Manger locations in NY, DC and PA through Empire with further opportunities in California - Empire is headquartered in New York City. We are an Equal Opportunity Employer: We stand unwavering in our commitment to equal employment opportunity, fostering an environment free from bias based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We take pride in being an equal opportunity workplace. We use eVerify to confirm U.S. Employment eligibility.

Job DescriptionSalary: $27/hr SITAR ARTS CENTER: CAMP SITAR LEAD AFTERCARE TEACHER What We Do Sitar Arts Center engages DC youth, from early childhood to young adulthood, in building a creative community of learning and belonging that removes financial and cultural barriers to arts education and career training. WhatYoullDo Sitar Arts Center is seeking an experienced Lead Aftercare Teacher to work in partnership with camp counselors, camp assistants, faculty, and staff to support young people in Camp Sitar this June July 2026. Camp Sitar provides visual, performing, digital art, and movement classes over six weeks to kindergarten - 8th graders in our full-day program. The Lead Aftercare Teacher ensures that all students in Camp Sitars Aftercare program are engaged and supported in aftercare activities from 4:306:00 p.m., Monday-Friday. Each aftercare group is divided by age range and matched with a Summer Camp Counselor. The Lead Aftercare Teacher oversees Camp Sitar Aftercare and is responsible for supervising and matching Camp Counselors and Camp Assistants in aftercare programming. This position is supervised by the Director of Community Arts Education. Responsibilities Include • Supervise Camp Counselors and Camp Assistants as they transition from their daily Camp Sitar role to Aftercare role, • Plan and prepare age-appropriate activities for Camp Counselors and Camp Assistants to facilitate and support positive youth development strategies in the different aftercare areas, • Ensure all students in aftercare are in their correct rooms, and students are regrouped by age as families pick up their children, • Fill the role of a substitute Camp Counselor as needed during aftercare hours, • Facilitate the pickup of students between the hours of 4:306 p.m. using Sitars walkie-talkie system, • Organize pre/post camp preparation, planning, storage, cleaning, as well as snacks for class distribution by Camp Counselors and Camp Assistants, • Supervise and ensure camp students' safety during aftercare time, in and outside of classes, snack time, activities, transitions, and during outside play WhatYoullEarn Pay is hourly, $27 per hour, based on experience. When You'll Work This six-week part-time position is seasonal, with a start date of June 22, 2026. The Lead Aftercare Teacher position will work 15 hours per week, with hours scheduled Monday-Friday between 3:30 pm and 6:30 pm, depending on staffing needs. Camp Program Dates are June 22 July 31, 2026. Other Required Work Dates will be provided before employment acceptance. All required work dates are paid, including: • Classroom Management Training, • Camp Orientations and Training/Camp Preparation Who You Are As the Lead Aftercare Teacher, you are a positive, inclusive role model who is warm, supportive, and engaging. You experience immense joy working with young people, meeting their needs and adapting to ensure their safety and success. You enjoy collaboration and improvisation and believe strong organization and creative youth development is the key to happy and engaged students. Most importantly you have a strong love for the arts, a strong love for children of all ages, and believe that everyone should have access to the arts. Key Qualifications and Experience • Two or more years of experience working with children and youth., • Interest and/or experience in arts and/or arts education., • Previous experience working in a camp setting. Preferred Qualifications and Experience • Bilingual - Spanish/English, • Knowledge, practice, and experience with differentiated instruction, equity, accessibility, and anti-racism Requirements • Background check and TB test Our Values Embed Equity Embedequity in our systems, programs, and spaces to advance social justice. Everyone should have equitable access to opportunities, representation, and voice. Foster Belonging Fosterbelonging by engaging, supporting, and celebrating our diverse community members throughgenuine and meaningful relationships. Everyone deserves a welcoming space where they can feel like they belong. Prioritize Balance Prioritize balance between the mental, emotional, physical, and creative well-being within ourselves and our fellow community members. Everyone deserves the opportunity and support to prioritize wellness within their lives. Build Trust Build trust by assuming positive intentions and taking ownership of our words, actions, responsibilities, and commitments. Everyone benefits when we approach relationships with openness and commit to follow through. Inspire Transformation Inspire transformation by listening to, learning from, and growing with our community and the world around us. Everyone can be a student, and anyone can be a teacher. Encourage Collaboration Encourage collaboration with thoughtful and clear communication, a curious mind, and a creative spirit. Everyone benefits when we work together as a team. How You Can Apply This position will remain open until filled. However, for best consideration, please apply by May 8, 2026. You need to submit a resume and answer all required questions.No phone calls, please. After applying, youll receive an email confirming that we have your application on file. If youre selected for the next stage, you will be contacted for an interview. The hiring process can take 5-8 weeks after posting. You will be considered if the position is still vacant. We appreciate your interest in Sitar Arts Center. Sitar Arts Center is an equal opportunity employercommitted to hiring a diverse workforce and sustaining an inclusive culture. Sitar Arts Center does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, physical or mental ability, veteran status, military obligations, marital status, orany other basis protected under federal, state, or local laws. For more information about Sitar Arts Center, please visit.

Job DescriptionBenefits: • No nights and weekends, • Childcare discounts, • Recognition programs, • Professional development and CDA tuition reimbursement, • Tuition reimbursement, • 401(k), • Competitive salary, • Dental insurance, • Health insurance, • Paid time off, • Training & development Nurture your growth. Empower your success. Join our welcoming community, where you can grow and make a real difference in childrens lives every day. If youre passionate about education and children, and ready to advance your career, wed love to hear from you! Lead Teacher Key Responsibilities: • Curriculum and Instruction: Implement age-appropriate lesson plans and activities using our proprietary Wonder of Learning curriculum to engage and support each childs growth, • Classroom Management: Create and maintain a safe, nurturing, and inclusive classroom environment, • Family Communication: Maintain open, effective and positive communication with families and guardians about their childs progress and daily activities, • Health and Safety: Supervise children during indoor and outdoor activities to uphold health and safety standards, licensing regulations and ensure their well-being, • Professional Development: Participate actively in ongoing professional development and training opportunities to enhance teaching skills, • Assessment and Documentation: Observe, assess and document childrens learning and development to inform activities and share insights with families, • Team Collaboration: Support Assistant Teachers and Resource Teachers, fostering a collaborative and positive team environment., • Behavior Guidance: Model and implement positive guidance strategies to support social-emotional growth and conflict resolution.Qualifications:, • High school diploma required; associate's or bachelor's in Early Childhood Education preferred, • Child Development Associate (CDA) preferred, • 1-2 years of previous experience working with young children in a licensed childcare or preschool setting preferred, • Has successfully completed state-required pre-service training, • Develops relationships and communicates effectively with children, families and faculty members, • Ability to lift up to 50 lbs. in connection with the handling of childrenIf youre an energetic, nurturing person looking for a supportive and fun workplace, join us! Our School offers a premium educational experience in state-of-the-art facilities, helping every child become a joyful, confident learner ready for success in school and life.

Job DescriptionSummary: Under the supervision of the Assistant Director (AD), assist in providing a learning environment at the newly built childcare development center that uses developmentally appropriate practices, protects, and nurtures the health and safety of each child and staff and provides resources and support to military families and their children. Salary commensurate with experience ($28.00 - 30.00 per hour) Duties and Responsibilities: Mentorship • Assists the ADs in helping childcare assistants translate professional development training into practice by mentoring, guiding, and role-modeling., • Models appropriate behaviors and techniques for working with children and youth., • Complete on-going assessments of each child to develop a variety of strategies which will promote and support children’s learning and developmental progress., • Make appropriate referrals based on screenings and on-going assessments., • Support each child's individual learning and development by providing an environment offering developmentally appropriate equipment and materials., • Be inclusive of children with disabilities by following the child’s Individual Education Plan (IEP) or the Individual Family Service Plan (IFSP)., • Provide a daily program which balances adult and child-initiated activities in both large and small groups, indoor and outdoor play, and timely and predictable transitions., • Develop and implement lesson plans based on the ELM curriculum., • Provide opportunities for creative self-expression through art, music, movement, and dramatic play., • Support the social and emotional development of each child by building trust, fostering independence, encouraging self-confidence, and supporting positive adult and peer relationships., • Encourage positive guidance by setting clear, consistent limits, and having realistic expectations., • Support the home language, culture, and family composition of each child by encouraging the feelings and rights of others., • Provides care and supervision, oversight, and accountability for children in care., • Maintains control of and accounts for the whereabouts and safety of children in care., • Implement the agencies approved food policies., • Practice and model the sanitation and hygiene procedures including hand washing, cleaning and disinfecting toys and furniture, and providing children with space to place personal belongings., • Comply with policies regarding blood borne pathogens to adequately protect children and staff., • Ensure that emergency information for each child is current and files are updated regularly., • Follow the policies regarding temporary exclusion and physician notification of diagnosis., • Practice the policies regarding medication administration and storage., • Provide an indoor and outdoor environment supervised in accordance with Child Care Administration licensing regulations and free of environmental and physical hazards., • Comply with the agencies approved Child Abuse and Neglect Reporting policy., • Complete daily attendance records for each child., • Respond to emergency situations by implementing emergency preparedness procedures., • Supervise the nutritional aspects of the program by assisting children with “family style” meals, sitting with children during designated mealtimes, talking with the children during the meal/snack time and appropriately scheduling meals into the daily schedule., • Serve all food that is on the planned menu, unless directed otherwise., • Serve purchased food replacements for children with specific and physician documented dietary needs., • Incorporate nutrition and related topics into daily activities and lesson plans., • Inventories equipment on a recurring basis, recommends replenishing damaged, missing, and depleted supplies and purchases needed items., • Secures supplies, equipment, and facilities in both the indoor and outdoor environment., • Follow and implement the Early Learning Matters (ELM) curriculum., • Make timely requisitions for health, safety, and classroom supplies., • Maintain all necessary records and documentation., • Supervise the daily responsibilities of the assigned assistant childcare teacher., • Provide adequate notification in your absence for all approved leave, which includes personal days and advanced scheduled sick leave., • Create a Substitute Guide including class lists, supplemental activity guides, outlines of daily schedules and transitions, and the location of all emergency evacuations and contact information., • Attending all scheduled staff development days and any additional training sessions., • Attending all staff meetings., • Invite parents to become an integral part of the program, by providing opportunities for parents to participate in classroom activities., • Encourage parents to provide information regarding their child by scheduling and conducting two parent and teacher conferences throughout the year., • Assist parents with transitioning from one classroom to another or from the child development center to kindergarten., • Communicate with parents regularly, verbally and non-verbally., • Participate in the creation of newsletters which will highlight classroom activities and upcoming events., • Based on the child’s individual needs, suggest parent/child activities for the child to complete with their family., • Communicate in a professional and respectful manner with parents and guardians., • Assist in obtaining community partners and resources to provide and support families. Must be 18 years of age or older. * Must hold an Associate, Baccalaureate, or Advanced Degree in Early Childhood Education OR a related fields OR Child Development Associate (CDA) and 12 months experience in an early childhood setting. * Must have all required education and experience to meet current Virginia State licensing requirements for qualifications. * Must pass Federal, State, Child Protective Services Checks, National Sex Offender Registry, and if living out of the State of Virginia in the last 5 years all applicable Out of State checks applicable. * Must have knowledge of Virginia licensing regulations. * Basic knowledge of MS Office and ProCare/childcare management software * Must participate in continued professional development through enrollment in formal and informal educational courses related to early childhood education. * Must be familiar with accreditation standards. * Preferred to have experience with military families and their children. * Required to do considerable walking, standing, bending, stooping, and lifting to 40 pounds. * Must pass a pre-employment physical, provide evidence of immunization and be free from communicable disease. * Must satisfactorily obtain or complete required training certificates and maintain certifications or credentials required by Federal, State or National Accreditation Institutions as used by the CDC. Education Must provide a copy of your Associate, Baccalaureate, or Advanced Degree in Early Childhood Education or College Transcripts (Showing degree awarded/conferred) when you apply OR a copy of your Child Development Associate (CDA) when you apply Compensation and Benefits: • Sign-on Bonus: Eligible candidates will receive a $500 sign-on bonus upon hire., • Retention Bonus: Earn up to $1750 in retention bonuses, distributed over key employment milestones as part of our commitment to employee satisfaction and longevity. Armed Service YMCA is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ASYMCA is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws of regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics. ASYMCA encourages applicants of all ages. Military spouses, veterans and military affiliated job seekers encouraged to apply. Armed Services YMCA is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ASYMCA is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics. ASYMCA encourages applicants of all ages. Armed Services YMCA acknowledges the minimal use of artificial intelligence (AI) technology in our initial recruitment stages. All AI use is coupled with human review and is designed to assist our team in building efficiencies and excelling at focusing on timeliness and communication in our hiring process. Our hiring teams thoroughly evaluate skills and qualifications and make all final hiring decisions. Powered by JazzHR deDRqJN6uC

Job DescriptionData ScientistWashington, DC (Hybrid)About the Role: We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions. Key Responsibilities: • Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines., • Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness., • Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way., • Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions., • Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production., • Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment., • Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems., • Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.Qualifications:, • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production., • Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred., • Strong background in Python and ML frameworks such as PyTorch or TensorFlow., • Proficiency in containerization and orchestration technologies (Docker, Kubernetes)., • Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure)., • Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML., • Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions., • Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams., • A proactive, self-starter mindset with a passion for applied research and innovation.

Job Description About Kindbody Kindbody’s mission is to make fertility and family-building care affordable and accessible for all. Founded in 2018, Kindbody has been recognized for technology innovation and industry leadership, Kindbody has been named to CNBC Disruptor 50, Fast Company’s Brands that Matter, Forbes Best Startup Employers, Inc.’s Best In Business list of most admired companies, as well as Deloitte Technology Fast 500™, which recognizes the fastest growing and most innovative technology companies in North America. Kindbody is the leading U.S. fertility clinic network and global family-building benefits provider for employers on a mission to make fertility care more affordable and accessible for all. Kindbody serves patients at 26 state-of-the-art signature clinics and IVF labs, 400+ partner clinics, and in 113 countries around the world. Trusted by more than 140 employers, Kindbody’s physician-led model covers the full-spectrum of reproductive healthcare including fertility assessments, fertility preservation, genetic testing, IVF, donor and surrogacy services, adoption, postpartum care, and menopause support. Kindbody is the only fertility benefits provider that serves patients directly, delivering a seamless, integrated experience with superior health outcomes at lower cost. Kindbody has raised more than $315 million in debt and equity funding from leading investors including Perceptive Advisors, JP Morgan Chase’s Morgan Health, GV, RRE Ventures, Claritas Health Ventures, Rock Springs Capital, Distributed Ventures, Whatif Ventures and TQ Ventures. About the Role As an experienced Practice Coordinator reporting to our Practice Manager, you will be working in a fast-paced, rapidly growing environment where you will be relied on for your expertise, professionalism, and collaboration. This role is a full-time position and is based out of our Washington, D.C. Clinic. Responsibilities Front Desk * Greet patients with a warm and friendly welcome * Check patients in and out through our EMR calendar * Ensure all patients have an intake form & insurance information on file prior to the appointment starting * Serve complimentary beverages to our guests & hang belongings in the closet * Maintain clinic reception and lobby cleanliness * Restock retail displays and maintain display cleanliness * Merchandising and inventory projects as assigned * Provide exceptional service representative of Kindbody Scheduling & Billing * Oversee clinic schedule and calendar -- assist with booking and rescheduling patients * Troubleshoot any scheduling issues and make changes to the patient portal when needed * Elevate scheduling concerns to the clinical team when necessary * Handle all customer billing & insurance questions, including, but not limited to accepting payments, triaging refund requests, and providing balance and statement information * Maintain the highest degree of ethics when handling patient payments and bill processing General Administrative Duties * Manage inbound customer communication (phone, email & chat) and ensure all messages are answered in a timely fashion * Manage clinic supply inventory and communicate needs to HQ * Maintain clear communication with HQ about overall shop operations * Manage event preparation & set up on an as-needed basis * Sell packages, products, and memberships * Other duties and projects as assigned Who You Are * 2+ years of administrative or receptionist experience in a fast-paced, customer-focused medical office * A passion for women’s health, fertility is a plus * Strong communication skills & a team player * Willingness to be flexible, roll with the punches, multitask, and troubleshoot problems * Detail-oriented with strong organizational skills * Exemplifies amazing customer service skills and professionalism Nice to Have * Experience in handling medical and insurance billing * Desire to be actively involved in events * Experience in front desk sales

Job Description Lead Woodworking Counselor (ages 7-16) Who We Are At DEAN Adventure Camps, we create life-changing opportunities for young people to discover their passions, explore endless possibilities, achieve meaningful goals, and navigate thrilling adventures—all while developing character and skills that last a lifetime. Guided by our core values of Compassion, Trust, Growth, and Creativity, we foster an environment where learning, discovery, and personal development thrive. Our vision is to inspire generations of resilient, compassionate, and confident individuals who contribute positively to their communities and the world. We operate across DC, MD, NJ, PA, and VA, offering all-inclusive programs that make summer exciting for children and easy for families. Learn more: DEAN Adventure Camps. What You’ll Do As a Lead Woodworking Counselor, you’ll guide campers ages 7–16 through developmentally appropriate woodworking experiences within a shared studio environment. You’ll differentiate instruction so younger campers build confidence with foundational skills while older campers take on more complex, multi-step projects. Responsibilities include, but are not limited to: • Design and lead tiered woodworking projects, offering simpler builds (e.g., small boxes, signage, toy builds) for younger campers and more advanced constructions (e.g., stools, shelves, keepsake boxes) for older campers., • Teach and reinforce woodshop safety practices, adjusting supervision levels based on age, skill, and tool use., • Support campers in planning, measuring, building, testing, and refining their projects at an age-appropriate pace., • Foster independence in older campers while providing close guidance and encouragement for younger builders., • Maintain a calm, organized workshop environment that supports focus, creativity, and collaboration., • Woodworking Expertise – Comfortable teaching hand-tool use, measuring, cutting, sanding, assembly, and finishing techniques across varying skill levels., • Differentiated Instruction – Experienced in working with mixed-age groups, adapting projects, expectations, and supervision for campers ages 7–16., • Safety-First Mindset – Strong understanding of age-appropriate tool use, shop setup, and risk management., • Patient & Structured Educator – Able to break complex skills into clear steps while keeping younger campers engaged and focused., • Mentor-Style Leadership – Encourages older campers to model safe practices, independence, and craftsmanship., • Problem-Solver – Calm and creative when plans shift, materials run low, or projects need re-thinking.Schedule and Requirements, • Full on-site availability during the summer: June–August, Monday–Friday, • Hours: Monday–Friday 8:30am–3:30pm daily, *8am Mondays, • Ability to commute to both:, • 1301 Potomac School Rd, McLean, VA 22101, • 3229 Sleepy Hollow Rd, Falls Church, VA 22042, • Must be at least 21 years old., • Must be up to date on all immunizations and willing to provide emergency health information upon hire., • Ability to lift 50 lbs, respond quickly to emergencies, and work in an active, outdoor environment., • Must have valid First Aid & CPR certification.Perks and Benefits, • Pay range: $21-24/hr – exact rate is determined by state minimum and experience., • FLSA Status: This is a seasonal full-time, exempt position under the FLSA., • Paid training: remote training on: including safety, DEI, classroom management, and more + in-person staff training the weekend prior to camp; please note that training is paid at state minimum wage, or $12/hr, whichever is higher., • All required background checks and certifications fully reimbursed., • Summer Bonus: Earn an additional $40 per week for working six or more weeks with no absences., • Referral Bonus: Earn $50 per hired referral, with no referral limits., • Daily perks: Free snacks, coffee, and parking + Monday breakfast., • Employee discounts on camp rates for family members, outdoor gear, art supplies, electronics, and more. Join our team and make a difference this summer! Applications are reviewed on a rolling basis — apply early to secure your spot. Powered by JazzHR vH6hfG9sPc

Job DescriptionAbout Galois Who We Are: From building digital engineering tools that make space exploration safer to verifying cryptographic libraries that protect some of the world’s most valuable data, Galois develops technology to guarantee the trustworthiness of systems where failure is unacceptable. We are a community of researchers, engineers, and operations people dedicated to creating trustworthiness in critical systems in every functional area of the organization. Our unique organizational structure enables us to adapt to the needs of the innovative projects we deliver. What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical software systems, allowing us to model, analyze, and mathematically prove that a system behaves exactly as intended under all circumstances. With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to deliver high assurance solutions and tools that enhance security, reliability, and operational efficiency across sectors including aerospace & defense, healthcare, semiconductors, and fintech. Research Engineers at Galois design and develop advanced technologies for safety- and security-critical systems, networks, and applications. Engineers work in small team settings and must successfully interact with clients, partners, and other employees in a highly cooperative, collaborative, and intellectually challenging environment. Life at Galois: People are the foundation of Galois’s success. As an employee-owned company, we care not only about the technologies we develop, but also the path we take to create them. Galois operates under a highly collaborative organizational model that encourages leadership and teamwork and respects the individuals. For more on our culture and organizational structure, visit Life at Galois. About This Role Galois is hiring a Software Engineer/Researcher to join our team! This role will primarily focus on advancing the state of the art in programming language theory research and implementation. Researchers in this role will use their expertise in Formal Methods and Programming Languages to conduct rigorous formal verification of software and systems, ensuring they meet the highest security standards. Responsibilities As a Research Engineer, you will have the following responsibilities: • Requirements gathering: engaging the client in a series of discussions, where each iteration refines the needs of the client, and leads to the suggestion of means to meet those needs., • Architecture and design: constructing high-level architectural descriptions of software systems, and constructing deeper program designs by fleshing out architecture prototypes. Architectures must be designed with assurance in mind, determining where and how formal methods are to be applied., • Implementation: extending design prototypes through to a finished product, with care taken to ensure robustness and ease of use., • Formal verification: use mechanical reasoning tools such as theorem provers and model checkers to demonstrate or analyze desired security and correctness properties of systems., • Testing and validation: constructing and regularly conducting system, unit, and regression tests, and conducting semi-formal validation and verification., • Technology research and development: conducting speculative research and development of cutting-edge technology, and incorporating that technology in product prototypes., • Technical infrastructure development: developing (designing, implementing, and maintaining) tools to be used within Galois, and developing library code to be shared among projects.Key Qualifications, • Education:, • A minimum of a Bachelor's degree in computer science or equivalent is required., • An MS or PhD in CS or a related field is desirable but optional., • Required Technical Expertise:, • A programming languages background and experience with formal methods., • Must have hands-on experience developing software and applying formal verification techniques., • Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area., • Experience in all aspects of software engineering practices., • Fluent in using semi-formal methods such as Haskell or other functional programming languages, including executable formal specifications., • Required General Skills:, • Must work well with customers, including building rapport, identifying needs, and communicating with strong written, verbal, and presentation skills., • Must be highly motivated and able to self-manage deadlines and quality goals., • Preference will be given to candidates with one or more of the following technical expertise:, • Direct experience in developing high-assurance systems and/or security products., • Experience with Model Based Systems Engineering tools, with expertise in SysML and AADL. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Location We enjoy a hybrid work environment, and candidates may be based out of any of our offices in Arlington, VA, Dayton, OH, Minneapolis, MN, or Portland, OR. Additionally, being located in Boston, MA is also welcome. Benefits We offer a robust benefits package to provide for your and your family’s well-being, including: • Employee Stock Ownership Plan (ESOP), • 401(k) retirement plan with 5% employer match and immediate vesting, • Fully paid medical insurance plans and dental and vision reimbursement plan, • Health Savings Account (HSA) with generous employer contributions, • Mental health and wellbeing support through our employee assistance program, • 5 weeks of paid time off and 9 days of paid company holidays each year, • 16 weeks of fully paid parental leave (available for birth, adoption, and fostering) For more information about our forward-looking and transparent approach to pay, visit Compensation. Equal Employment Opportunity Galois is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race, ethnicity, national origin, ancestry, color, sex, gender identity or expression, sexual orientation, marital or parental status, pregnancy or childbirth, disability, age, religion, creed, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We encourage and respect different viewpoints and experiences as being essential to the process of innovation. We strive to acquire, grow, and maintain a diverse and inclusive workplace that applies principles and standards equitably while supporting the needs and accommodations of the individual employee. Consistent with the Americans with Disabilities Act (ADA) and federal and state laws, it is the policy of Galois, Inc. to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If you require reasonable accommodation in completing the employment application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact .

Job DescriptionWe are looking for local BCBAs to join our team throughout the state of Virginia Above and Beyond Therapy is looking for exceptional Board Certified Behavior Analysts (BCBAs) to join our team. We invest in the delivery of outstanding quality care by designing an environment where all employees can think big and have fun. Our company goal is, that you should love what you do! Above and Beyond Therapy is dedicated to the professional growth and personal happiness of all of our staff. We constantly strive to create a supportive, collaborative, inclusive workplace where everyone is excited to come to work. Here at Above and Beyond Therapy you will feel part of something special. Our amazing back office team provides a ton of support that enables our BCBAs to focus on doing what they love while spending less time on administrative work. ABT currently serves families with center, home and school based services across the following states: Colorado, Georgia, Indiana, Nebraska, North Carolina, Oklahoma, Utah, Virginia, and Maryland. We offer full-time or part-time BCBA opportunities. Sign-on and relocation bonuses available! In Virginia, we pay as high as $100,000 yearly salary on a bi-weekly basis Above and Beyond Therapy believes that BCBAs deserve:· Back office support they need to provide quality care without burning themselves out· Leadership that has the best interest of clients and staff in mind· A most positive and friendly work environment· Mentorship and training opportunities to support and build their skills· High level of collaboration with a strong emphasis towards growth and development· Flexible work hours and strong emphasis on work-life balance Above and Beyond Therapy provides the gold standard of Applied Behavior Analysis (ABA) therapy services for children on the autism spectrum. Our highly qualified and personally dedicated BCBAs (Board Certified Behavior Analysts) combine their extensive knowledge and experience with our innovative treatment techniques to improve clients' social, behavioral, and adaptive skills. Above and beyond Therapy BCBAs deliver individually tailored treatment plans with compassion in homes, schools, and our conveniently located state of the art centers.Board Certified Behavior Analyst (BCBA) Responsibilities and Duties • Conduct intake evaluations including functional behavioral assessments and skills assessments, • Design treatment plans of care, • Supervise and monitor the progress of behavior technicians, • Design positive behavioral treatment and skill acquisition plans with goals tailored to the individual, • Supervise and train ABA technicians; implement, model and monitor progress of individualized behavior support and skill plans with ABA technicians, • Provide caring support during family conversations to ensure parents fully understand assessment results and treatment recommendations, • Graph data, adjust strategies as needed to ensure progress, and provide routine progress summariesJob Requirements:, • Valid BCBA Certificate, • Experience working with Children and teens diagnosed with autism spectrum disorder (ASD) and other developmental disabilities, • Vehicle required for travel between assignments, and valid driver's license., • Manageable case loads, • Free Health, Dental, vision, and Life insurance!, • Paid Maternity leave, • 401K match, • Flexible schedule, generous PTO, and paid holidays, • Free CEUs, • Client materials reimbursement, • Utilization bonus potential per pay period (realistic opportunities - uncapped), • Referral bonusSchedule, • Monday to Friday, • Weekends as neededTravel requirement:, • Up to 25% travelLicense/Certification:, • BCBA (Required)Ability to commute/relocate:

Job Description Looking for a fun summer opportunity to impact kids and earn money? Look no further! Hiring now for Camp Counselors in our Baroody Outside and Baroody Camps summer programs. We are hosting a variety of exciting programs from art, to sports, to even fishing and mountain biking! We have opportunities for indoor and outdoor camps.. We are interviewing in February with training at the end of May 2026. APPLY TODAY! Job Summary: Baroody Camps, Inc. provides camps to school children in various counties throughout the Northern Virginia area throughout the summer and school year months. We provide opportunities to manage and teach kids during our camps. We are looking for individuals who are interested in teaching elementary school children in various activities including (but not limited to) art, science, STEM, cooking, and sports. Flexible hours with half day and full day options available. *will be scheduled weekly and hours range from 25-40 per week depending on availability *must be available for the full week of camp (Monday-Friday) This is a seasonal role that will begin in June and run through August. The ideal candidate can work at least 5 weeks. Positions will be open in: Arlington, Fairfax, Alexandria and Falls Church! Pay: Counselor: Range $15-$22/hour Head Counselor: Range $20-25/hour Responsibilities and Duties: • Build and develop positive, caring and appropriate relationships with campers. Treat all campers fairly with kindness, dignity and respect., • Managing a small group of kids by taking attendance and accounting for them at all times, • Ensure children's safety, manage children's behavior and act as a role model while participating with campers in all daily activities., • Facilitate age-appropriate activities for elementary school aged children activities that give children a sense of accomplishment that comes from mastering techniques and completing projects., • Use group management skills to engage all children in daily activities (i.e. signals to get attention, positive feedback, model positive attitude about projects, conflict resolution, etc.), • Prepare materials needed for activities, clean up after the activities., • Option to create and design activities for elementary school aged children (optional), • Arrive on time each day, • Manage kids safely, • Complete activities in a safe but fun and exciting manner, • Must be eligible to work in the United States, • Availability to work at least 4 weeks between June and August., • Must be 18 years or older, • Experience working with children (preferred), • Flexibility and willingness to adapt to different situations, • Works well under pressure, • CPR/AED/First Aid Certification, provided., • On the job training, provided. Job Posted by ApplicantPro

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs. About the Role: As a Principal Signal Processing Researcher, you will create and lead technical teams that develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare and sensor applications. A successful candidate will have demonstrated leadership skills and substantial expertise in several of the following areas: optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills working as part of and leading multi-disciplinary teams designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems. What you will do: • Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges, • Provide technical leadership to small, multi-disciplinary teams that develop, implement, test, and integrate novel sensing, electronic warfare, and signal processing systems, • Direct Modeling and Simulation activities of advanced RF systems in support of algorithm development, test, and integration, • Plan and support algorithm test and evaluation activities, including performance assessment in laboratory and field environments, • Active Security Clearance, with eligibility to support special access programs, for which US Citizenship is required by the US government, • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 8–10+ years of relevant experience depending on degree, • Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++, • Strong communication skills and the ability to describe complex technical concepts to fellow researchers as well as to non-technical people, • Ability to translate customer requirements to determine research focus, • Ability to create and present deep technical briefings as well as high-level briefings to Customers and senior management, • Experience with designing, implementing, testing, and analyzing ML/AI algorithms, • Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations, • Experience with advanced RF system concepts, signal processing, open architectures, and systems integration, • Experience in Software Development, • Ability to survey literature to determine state-of-the-art, incorporate recent research, and transition it into integrated, tested solutions The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About VantageScore At VantageScore we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri-bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and homeownership. Our models are among, if not the most, inclusive in the United States and power billions of credits scores a year. We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At VantageScore, you'll have the unique opportunity to work within a fast-paced, independent start-up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus. VantageScore® consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company's most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using VantageScore can extend credit to those who have been historically marginalized, including minority and lower-to-middle-income Americans. VantageScore credit scores are used by over 3,700 banks, fintechs and other companies use VantageScore credit scores every day to assess consumer creditworthiness. Last year, over 42 billion VantageScore credit scores were used representing a 55% yearly increase. All 10 US banks use VantageScore credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required VantageScore credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using VantageScore credit scores today - we are the leader in predictive power and financial inclusion. About The Role We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You'll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You'll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. Key Responsibilities • Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development., • Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models., • Serve as the team's expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance., • Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets., • Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders., • Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes., • Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices., • Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences., • Master's or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics)., • A minimum of 5 years of professional experience in advanced analytics, AI/ML/LLM, and data science in research and/or corporate environments., • Proficiency in Python for data science and machine learning workflows., • Proven experience with machine learning techniques (classification, clustering, regression, neural networks) for predictive risk and credit modeling., • Strong track record of conducting research, developing analyses, and producing clear and impactful presentations or publications., • Experience delivering insights and solutions that drive business impact., • Deep expertise in GenAI - Natural Language Processing (NLP) and Large Language Models (LLMs) - including training, fine-tuning, explainability, and deployment., • Deep expertise in advanced ML techniques (self-supervised learning, training optimization, explainability) with focus on credit scoring., • Proficiency with modern ML/AI technology stack, such as PyTorch, AWS and related tools., • Experience delivering innovative, scalable AI/ML solutions integrated into production platforms., • High-level analytical problem-solving ability, with creativity in defining and solving ambiguous problems., • Exceptional communication skills, able to convey technical concepts to diverse stakeholders., • Salary Range: 150K Base + Bonus Are you a Senior Data Scientist who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let's embark on a mission to redefine the industry and propel your career to new heights at VantageScore!

Job Description Head Outside Summer Camp Counselor - Onsite Job Summary: Love the outdoors and working with kids? We have the job for you! Baroody Camps with Virginia Outside is offering outdoor adventures for kids ages 7 to 15 and we are hiring for Head Counselors to help kids learn and have fun! Do you love to hike, mountain bike, fish, camp and kayak? Then we're for you! Lead a group of 12 kids to find their outdoor passion and learn skills to enjoy it for life! Stay in shape while you work. Practice your favorite exercise like fishing, biking and hiking while teaching kids to appreciate the outdoors. You will share your expertise with campers by preparing equipment and supplies for the week's camp program, driving campers in the camp van daily and spend the day at the most beautiful lakes, trails and parks in Virginia. Applicants must be comfortable working outside, work well in groups as well as be responsible, adaptive, and outgoing. Flexible hours, competitive pay, and a fun work environment! This is a seasonal role that will begin in June and run through August. The ideal candidate can work at least 4 weeks. Counselors generally work 7:30AM - 4:30PM in a given work day and must work Monday-Friday each week. *will be scheduled weekly and hours range at about 45 hours per week *must be available for the full week of camp Positions are open in Arlington, Fairfax, Alexandria and Falls Church! Pay Range: $20-$22/hour We provide opportunities to manage and teach kids during our camps. We are looking for individuals who are interested in teaching elementary school children in various activities including (but not limited to) art, science, building and sports. Responsibilities and Duties: • Enjoy physical fitness! (e.g. standing for long periods of time, lifting/carrying gear like kayaks, hiking/walking/biking, riding over challenging uneven surfaces and working in all types of weather conditions - high heat and rain.), • Build and develop positive, caring and appropriate relationships with campers. Treat all campers fairly with kindness, dignity and respect, • Managing a small group of kids by taking attendance and accounting for them at all times, • Ensure children's safety, manage children's behavior and act as a role model while participating with campers in all daily activities, • Facilitate age-appropriate activities for elementary school aged children activities that give children a sense of accomplishment that comes from mastering techniques and completing projects, • Use group management skills to engage all children in daily activities (i.e. signals to get attention, positive feedback, model positive attitude about projects, conflict resolution, etc.), • Prepare materials needed for activities, clean up after the activities, • Option to create and design activities for elementary school aged children (optional), • Arrive on time each day, • Manage kids safely, • Complete activities in a safe but fun and exciting manner, • Communicate directly with Site Director, Managers, and student parents, • Must be eligible to work in the United States, • Must be 25 years or older, • Experience driving a van and/or trailer, • Experience in any of the following areas: fishing, mountain biking, hiking, kayaking/canoeing, outdoor/survival skills, earth science, ecology, ropes courses, • Experience working with children (preferred), • Flexibility and willingness to adapt to different situations, • Works well under pressure, • Must have reliable transportation, • CPR/AED/First Aid Certification and MAT training, provided, • On the job training, provided Job Posted by ApplicantPro

Job DescriptionSalary: Position: Elementary School Art Teacher Supervisor: Founding Principal Start Date: August 2026 Application Deadline: Applications will be accepted on a rolling basis through June 30, 2026. However, the position may be closed prior to that date if a qualified candidate is hired. Please note that we will begin reviewing applications starting on January 5, 2026. The Opportunity: We are seeking lead teachers with experience in elementary school art education to provide instruction for the 2026-2027 school year. Global Citizens PCS is the first dual language immersion elementary school in Washington, DC, to offer language immersion in both Mandarin Chinese and Spanish pathways - exposing students to the top three languages spoken in the world. Paired with a focus on social justice and whole child wellness, Global Citizens PCS equips children to become empathetic, globally competent, and socially-minded leaders who are prepared for a future we cannot yet imagine. Global Citizens PCS opened in Ward 7 to provide children and their families living east of the Anacostia River with equitable access to dual language immersion programs. This position offers an incredible opportunity to work alongside a founding team, within an entrepreneurial and collaborative environment focused on improving educational opportunities for all students, especially those who are most marginalized and undervalued. Mission: The mission of Global Citizens PCS is to inspire and prepare the next generation of global citizens. We will do this by supporting students, ages 3-11, to reach their full academic and leadership potential in a nurturing learning environment. We will immerse them in the Mandarin and Spanish languages, promote the value of diversity, and equip them with the knowledge, skills, and mindsets they need to contribute to a better world. Vision: We envision academic excellence, language acquisition, and authentic inclusion of a diverse student population. We will build a strong community of learners who are confident in their ability to communicate in the Chinese, Spanish, and English languages. Our children will use language to liberate and advocate for themselves and those most marginalized. All of our children will develop a sense of self and a sense of belonging, build empathy and emotional resilience, learn to understand and appreciate diverse perspectives, and challenge themselves to take action to improve the world. Philosophy: We believe that all cultures have richness and value, deserve respect and consideration, and do not belong to a hierarchy. We are aware of white supremacy culture and the systemic oppression that exists even in the current education system. At Global Citizens PCS, we will critically examine our biases and then actively work on counteracting these biases and disrupting the dominant narrative. We will continually examine our teaching and curricula to ensure we incorporate multiple perspectives from diverse cultural backgrounds and life experiences, including the experiences of our students, families, communities, and staff. We will create an environment in which all students will yearn for intercultural connections and see their benefits. The core values live in our Global Citizens PCS educational model through four key pillars: Globally Competent Bilingualism, Academic Excellence, Social Justice, and Whole Child Wellness. Elementary School Art Teacher Job Description The Art Teacher is responsible for creating a classroom environment that fosters, promotes and develops creativity and expression in young learners; that teaches foundational art skills and techniques, including drawing, painting, sculpture, and mixed media; that integrates art history and multicultural perspectives into lessons to broaden students' understanding and appreciation of art; and that fosters a supportive and inclusive classroom environment where all students feel empowered to explore their creativity and express themselves. All teachers will work collaboratively to positively impact student development by creating a warm and inviting learning environment; building relationships with students and families; creatively designing and implementing effective lessons within a free and liberating classroom environment; analyzing and interpreting data; collaborating professionally with colleagues; and, participating in the larger school-wide community. The Art Teacher, under the direct supervision of the Founding Principal, will work collaboratively with all leadership team members to fully understand and respond to the needs of students and families, create and implement plans according to the mission, vision, and pillars of Global Citizens Public Charter School while remaining focused on the implementation of high-quality instruction. Key responsibilities include, but are not limited to: School Mission and Vision • Implement a shared school mission and vision to promote each students social, emotional, and academic development, • Actively participate in data-driven instruction and methods of continuous improvement to ensure we meet the needs of each student, • Reinforce the mission with students and families, inspiring them to act on the mission every single day, • Reflect on instructional practices and adjust behavior and systems accordingly: ask regularly for feedback; model humility and admit mistakes; seek out thought partners; and, engage in professional learning, • Collaborates with support teachers and other staff to ensure proper and consistent implementation of our instructional program Equitable and Inclusive School Culture • Model ethical, equitable, and professional behavior and acts with integrity, fairness, cultural competence, and empathy with students and colleagues, • Contribute to a professional school culture focused on developing relational trust with colleagues and building each other's capacity to promote each students social, emotional, and academic development; serves as a mentor teacher for support teachers, • Set personal and professional learning goals to promote wellness and enhance professional practice; attend summer institute and weekly professional development sessions, • Participate in professional development and coaching cycles led by Director of Teaching & Learning and other instructional leaders, • Encourages open, productive, collaborative, and trusting working relationships among administrators, teachers, and staff to promote an environment of continuous improvement, • Mentors support teachers and develop a strong classroom culture, • Develop a supportive and positive learning environment focused on uplifting student voice and using student data to drive student development, growth, and achievement Curriculum, Instruction, and Assessment • Develop lesson plans and teach art education, • Utilize culturally sustaining and anti-bias/anti-racist practices (along with data) to inform and guide daily instruction; incorporate student cultures, interests, and experiences into lessons and activities, • Set clear and measurable goals throughout the year for every student in all areas of study; regularly assess the progress of each child and provide differentiated, child-centered instruction to meet the needs of each child on a daily basis, • Actively participate in data-analysis cycles and protocols in order to evaluate and increase rigor, coherence, impact, and equity of curriculum, instruction, and assessment, • Collaboratively plan weekly with teaching teams to develop holistic lesson plans, • Ensure that each student has equitable access to classroom materials, texts, learning resources and opportunities, academic and social-emotional supports, and other resources in the target language Equitable and Inclusive Student Support • Improve and sustain a school environment that is inclusive, equitable, caring, and culturally competent (and meets the academic, social, emotional, and physical needs of each student), • Maintain positive, fair, and unbiased student behavior policies that emphasize relationship reconciliation and behavioral change, • Work with Special Education Teacher and English Learner Teacher to plan for and support all learners needs, • Use student performance and placement data, as well as school culture data, to promote greater inclusiveness, caring, equity, and closure of opportunity gaps, • Serve as a member of the Student Support Team (SST) and implement a Multi-Tiered System of Supports (MTSS) to meet the needs of all children, including special populations Family Engagement • Maintain open, welcoming, and ongoing communication with families regarding student progress that values inclusiveness and builds trust, • Provide routine, two-way communication with families about school activities and culture, student performance and development, and school initiatives, • Build and sustain positive, collaborative, and productive relationships with families to ensure student success, • Engage parents and families in meaningful, reciprocal, and mutually beneficial ways to promote each students social, emotional, and academic development, • Participate in parent conferences and school-wide events and contributes to the broader school community Art Education Teacher Requirements: • Bachelor's or Master's degree in Art Education, Fine Arts, or a related field, • At least two years of combined experience as a teacher preferred, • Teaching license is preferred, but not required, • Deep experience and knowledge of learning standards and student-centered curriculum, • An energetic, flexible, creative, innovative individual who can develop strengths-based, student-centered support plans that support learning for students of various abilities, including those with various identified exceptionalities, • Ability to excel as a member of a multidisciplinary team and an instructional team, • Ability to work in a multicultural, multilingual environment, • Ability to collaborate and teach through a lens of diversity, equity, justice, and inclusion, • Strong communication skills (both oral and written) The ideal candidate is highly knowledgeable in the following: • Research-based, tiered instructional strategies, • Culturally Sustaining Pedagogy, • Anti-racist beliefs and practices, • Responsive Classroom/Restorative Justice/Conscious Discipline Compensation Salary for this position is competitive and ranges from $60K to $80K. Additionally, Global Citizens PCS offers a comprehensive benefits package. Please visit our careers page or click here to view our current salary scale. We are Deeply Committed to Diversity, Equity, and Inclusion Global Citizens PCS is an equal opportunity employer and an organization that values diversity. We strongly encourage people from diverse backgrounds to apply. It is our policy to ensure that all individuals with whom we are in contact with are not discriminated against on the basis of race, color, ethnicity, disability, gender identity, gender expression, age, marital status, national origin, religion, sexual orientation, military status, family responsibilities, pregnancy, parenthood, or any other personal or professional status. How to Apply If you are interested in applying for this position, please click Apply for This Job on the top right. Well review applications as we receive them until the position is filled. If you have any questions, please contact us at . Global Citizens PCS is committed to building a team that reflects the varied backgrounds and experiences of the students we seek to serve. It is important to us that you use your application materials to clearly delineate ways in which your background and experience align with Global Citizens PCSs core values and key pillars.

Job DescriptionBenefits: • 401(k), • Dental insurance, • Flexible schedule, • Health insurance Clinical Environment and Support Our team in Old Town Alexandria is collaborative and clinician-focused. We provide therapists with private offices to help maintain a safe and confidential space for sessions. To support your growth, our practice provides state-of-the-art tech, marketing for a steady stream of referrals, and full administrative support. In this role, you will provide high-quality, evidence-based psychotherapy to a diverse clientele, with opportunities to work with individuals, couples, and families based on your expertise. Job Responsibilities Evaluate mental health diagnosis, create, and implement a treatment plan, complete ongoing documentation including further diagnosis, treatment plan reviews, and case notes according to company policy Provide excellent customer service for clients and collaborate with a dynamic team to further the mission of filling gaps in our community Utilize creativity in interventions to help clients achieve and exceed goals Prepare and submit individual documentation for each session per company guidelines and protocol For Full-Time status clinicians must maintain a caseload of a minimum of 25 client visits per week Coordinate services with case managers, families, work personnel, medical personnel, other Ellie staff, and school staff as needed Attend and participate in all clinical staff meetings and trainings Qualifications Completion of a doctoral degree (PhD or PsyD) in clinical psychology, counseling psychology, or a related behavioral science field from an accredited university Eligibility for registration as a Resident in Psychology with the Virginia Board of Psychology Required experienced in completing psychosocial assessments, treatment plans, and clinical case notes Effective written and verbal communication skills Ability to demonstrate and model stable, appropriate boundaries with clients Ability to complete and submit documentation of services and other documents in a timely manner Comfort and familiarity working with a diverse client base Proficient in the use of Office 365 and Electronic Health Record systems (Valant experience a plus!) Benefits Paid Time-Off, Paid Sick Days, 401K, Medical, Dental, Vision Compensation Full Time Annual range $80,000 - $90,000 Part Time Options Available Flexible work from home options available.