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Associate, Credit Risk, Liberty Street, New York, NY Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! Job Description The Difference You Make: We are seeking a motivated and analytical Associate to support the implementation of credit strategies and models within decision engine platform for Santander US Unsecured lending portfolio. In this role, you will work closely with credit risk, data science, and technology teams to operationalize and maintain decision logic that drives automated approvals, credit policies, models and customer lifecycle decisions. This is a critical role to ensure strategic decisions are accurately translated into system logic for real-time execution. Strategy Implementation * Translate business and risk strategies into decision engine logic using defined rules, conditions, and configurations. * Collaborate with credit policy, analytics, model development and product teams to understand strategic intent and ensure accurate deployment in decision systems. * Support testing, validation, and monitoring of decision strategies prior to and post-production implementation. * Maintain documentation of decision logic, rule flows, change history, and approval workflows. Testing & Validation * Design and execute test plans to ensure decision rules perform as intended. * Partner with QA, technology, and analytics teams to validate outputs and ensure alignment with risk frameworks. * Identify and troubleshoot issues in rules logic or system behavior and recommend corrective actions. * Conduct thorough testing of the consumer lending processing system, including ___, ___, and ___. * Identify and document ___ and issues encountered during testing. * Participate in ___ and ___. Performance Monitoring * Support tracking of decision engine performance, including KPIs like approval rates, automation rates, and error rates. * Work with analytics and reporting teams to assess the impact of strategy changes and recommend refinements. * Ensure decision logic aligns with regulatory guidelines and internal governance policies. Cross-functional Collaboration * Coordinate with internal stakeholders across risk, product, technology, operations, and compliance. * Participate in regular strategy reviews and platform enhancement discussions. * Assist with audits and governance reviews by preparing documentation and providing data or system insights. What You Bring: 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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Business, Finance, Computer Science, Engineering, or related field. - Required. * Master's Degree in Business, Finance, Computer Science, Engineering, or related field . - Preferred. * 5+ Years Risk Management, Credit Risk, or Internal Audit - Required. * 5+ Years Financial Services industry experience. - Required. * 1+ Years Experience in ___ or ___ roles. - Required * Experience with decision engines such as FICO , Experian PowerCurve, or Provenir. * Basic understanding of consumer credit risk, models, lending policies, and/or financial products. * Experience working in a financial institution or fintech environment. * Strong analytical and problem-solving skills with attention to detail. * Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus. * Excellent written and verbal communication skills. Preferred Skills: * Exposure to agile delivery environments and product/strategy deployment cycles. * Understanding of model-driven decisioning and A/B testing frameworks. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $76,875.00 USD Maximum: $130,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Bank N.A.

The Opportunity MassMutual is seeking a Quantitative Consultant to join our Product Modeling team within the Annuity Product Department. In this role, you will collaborate with cross-functional teams to define product calculation requirements for new and existing products, and develop Excel-based models to support and validate those requirements, ensuring accurate and reliable values for our MassMutual customers. You will also support existing products during administration system conversions between administrative systems, maintaining data integrity and process continuity. Additionally, you will provide defect analysis and resolution to address system or calculation issues efficiently. The Team Our team blends advanced Excel modeling, annuity product expertise, actuarial knowledge, and strong communication and problem-solving skills. We prioritize critical thinking and process efficiency to stay focused on core responsibilities. By streamlining workflows and anticipating challenges we accelerate speed to market and resolve customer issues quickly. Through effective system solutions and empathetic solution-oriented communication we enhance customer experience and ensure timely delivery. The Impact: In this role, you will drive efficiency, collaboration, and innovation to improve speed to market and deliver exceptional customer outcomes. Key responsibilities include: * Own the development of models and requirements to ensure MassMutual customers receive accurate values from our systems and operational processes. * Take accountability for deliverables, working collaboratively with team members to complete tasks accurately and on time while following established coding structures and standards for Excel model development. * Plan and communicate effectively when multiple team members are working in the same excel model, ensuring coordination to avoid conflicts and maintain model integrity. * Communicate clearly with business partners, translating technical and non-technical information clearly and keeping stakeholders informed of status and deliverables. * Apply actuarial and statistical methods, leveraging tools and peers to when needed to enhance everyday work * Reduce costs through process improvements, automation, and strategic handoffs to business partners. * Navigate complexity and ambiguity. exploring multiple solutions while balancing the needs of the customer, actuarial functions, product, systems, operations, the field, legal, and compliance. The Minimum Qualifications * BA or BS with a quantitative focus (e.g., Mathematics, Actuarial, Finance, Economics or related major) * 5+ years of relevant work experience in insurance or financial services industry. * 1+ years of Excel experience, including formulas (e.g., XLOOKUP), data validation. The Ideal Qualifications * Completion of 1 or more actuarial exams * In-depth knowledge of MassMutual annuity products * Excel VBA * Experience writing SQL queries * Ability to optimize workflows for large data sets through advanced Excel techniques, macros or integration with other tools. * Experience supporting requirements and business testing for administrative system conversions. * Ability to take ownership of deliverables and collaborate effectively within a team environment. * General knowledge of annuity or related financial services industry products and practices. * Ability to work at both strategic and tactical levels, and switch between them as needed. * Strong business acumen, analytical, problem-solving, decision-making, and presentation skills. What to Expect as Part of MassMutual and the Team * Regular meetings with the Product Modeling Team * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a strong and stable ethical nosiness with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Spring Health is transforming mental healthcare through innovative solutions that remove barriers, meet the needs of diverse populations, and deliver measurable impact for our customers. We partner with payers, providers, and employers to improve mental health outcomes at scale. Spring Health is looking for a growth-minded Lifecycle Marketing Lead to own and optimize the end-to-end journey for our direct-to-consumer (D2C) Spring members. This is a key individual contributor role focused on engaging members from the moment they sign up—through activation, ongoing care, and sustained mental health improvement. You will develop and execute lifecycle marketing strategies that drive engagement, appointment bookings, and ultimately long-term health outcomes. Reporting to the Director of Lifecycle Marketing, you'll partner cross-functionally with D2C Product, Engineering, Data, and Design teams to build high-impact, scalable programs that deepen member engagement and deliver measurable value. This role is ideal for a senior lifecycle marketer with deep experience in D2C growth and retention, a strong testing mindset, and a passion for improving lives through mental healthcare. Please note that this is a hybrid role based in New York City, with an expectation to be in office 3 days a week. Our office is located at 60 Madison Avenue. What You'll Be Doing Own and Optimize the D2C Member Lifecycle • Design, execute, and optimize multi-channel marketing strategies (email, SMS, push, in-app, direct mail) that move D2C members through the funnel—from sign-up and onboarding through to ongoing care and health outcomes., • Build personalized, automated lifecycle journeys that reduce drop-off, drive follow-up actions, and increase the rate and frequency of care engagement., • Identify friction points in the D2C journey and develop targeted messaging and programs to improve activation, retention, and re-engagement., • Own a test-and-learn roadmap focused on optimizing performance across lifecycle campaigns., • Run A/B and multivariate tests across creative, channel mix, timing, and segmentation strategies., • Analyze behavioral and usage data to build hypotheses and improve touchpoint relevance., • Act as the marketing lead for our D2C member experience, collaborating closely with D2C Product, Data, Design, Engineering, and Clinical teams., • Partner with Clinical Content and Creative to ensure all messaging is empathetic, accurate, and brand-aligned., • Work with Marketing Ops and Martech to scale infrastructure and maintain operational excellence., • Define and own key D2C lifecycle metrics such as onboarding completion, appointment booking rates, care engagement, and member retention., • Partner with Analytics to track performance, uncover insights, and inform strategic decisions., • Establish repeatable processes and ensure rigorous QA for all lifecycle campaigns and automations.What Success Looks Like in This Role, • Stronger Engagement Across the D2C Funnel: Higher onboarding completion, appointment bookings, and follow-through with care., • Measurable Improvements in Outcomes: Lifecycle efforts that directly support and correlate with improved mental health outcomes., • Insight-Driven Optimization: Ongoing testing and iteration leading to measurable lifts across key engagement metrics., • Seamless Cross-Functional Execution: You're seen as a strategic, data-driven partner across D2C Product, Engineering, and Marketing teams., • Flawless Execution: Campaigns and journeys are timely, personalized, QA'ed, and aligned with brand and legal standards.What We're Looking For, • 6–10+ years in lifecycle, CRM, or growth marketing, ideally in a D2C, healthtech, or mission-driven organization., • Proven experience building and scaling multi-channel, automated marketing journeys for a D2C audience., • Deep familiarity with marketing automation platforms—Iterable strongly preferred., • Strong analytical chops; you're comfortable digging into data and surfacing actionable insights., • Solid understanding of behavioral and personalized marketing tactics., • Strong communication and collaboration skills, with experience working cross-functionally., • Creative and resourceful, with a strong bias for action and testing., • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We are looking for an Enterprise Sales Director to join our team and help maximize a massive market opportunity. There is so much potential to provide mental health benefits to employees at top companies and we're looking for someone passionate to help us capture it. This is a full time remote role, reporting to the Senior Director, Enterprise Sales. What you'll do: • Full sales cycle role selling into HR/Benefits leaders at larger size companies from 10K to 100K employees and organizations across the globe., • Work closely with BDRs and members of our Strategic Alliances team to close opportunities that they generate, as well as self source your own within your territory by working with top consultants, • Own and iterate full cycle sales pitches using a consultative sales approach, including but not limited to running RFPs, discovery calls, Spring Health overview presentations, demonstrations of the technology platform, pricing and proposal analysis and reviews, negotiation to procurement, and more., • Prioritize strategically valuable accounts in the assigned territory, and opportunities in line with our national sales approach and strategy, • Build business cases for VPs/C-levels, • Work cross-functionally to provide key market feedback on client and consultant needs and product roadmap, • Develop mutually beneficial partnerships with health insurance brokers and health benefits consultants and grow the relationships over time, • Travel as needed to close the sale and/or support Spring Health in industry events (~30%), • Meet and exceed sales targets by identifying new opportunities in the territory., • Understand client's business needs, pain, challenges and goals to provide solutions that align with their strategic initiatives., • Strong track record of quota attainment in an Enterprise sales role for 8+ years, • Strongly prefer benefits/healthcare sales experience, but not required, • A deep passion to transform the U.S. healthcare system, especially mental health, • Outstanding communication skills and a thoughtful and collaborative approach to sales, • Entrepreneurial focus with a determination to succeed in an innovative, fast-paced environment with a high tolerance for ambiguity, • Strong background and track record of success as an individual contributor, with experience closing 6-figure deals and crushing quota, • Humility, resourcefulness, directness, ambition, extreme comfortability with change, • Emotional intelligence and an empathetic nature, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 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).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. 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. New York, NY: $245,900 - $280,600 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).

INTERNAL CONTROLS OFFICER SENIOR WHAT IS THE OPPORTUNITY?Internal Controls Officer is responsible for providing independent and objective oversight of the management of risks arising from City National Bank's business processes, people, systems or external events. The team is responsible for providing governance and oversight to enhance the control environment to ensure successful remediation of operational risk exposures. This includes providing practical guidance, functional expertise, strategic direction, and execution rigor to significant operational risk remediation activities. The Senior Officer is responsible for challenging the quality, sufficiency, and completeness of 1LOD risk remediation and control management activities for moderate to high-risk initiatives in compliance with the Issue Management Policy and Standard and the Internal Controls Management Policy (ICMP) and Standard and for communication outcomes of objective assessment through escalation and reporting to Senior Management as necessary. WHAT WILL YOU DO? • Conduct review and challenge of remediation initiatives to ensure operational risk exposures associated with known control deficiencies are addressed. This includes providing challenge throughout the Issue Management Lifecycle, which may include issue data details; root cause analysis; action plan; material issue changes; management's completion of the required and/or committed corrective actions with supporting evidence; and sustainability., • Conduct review and challenge of controls implemented. This includes providing feedback to risk and control owners and control assessment teams related to the following control management activities: control identification to match appropriate controls with identified risk exposures to lower the residual risk level; completeness and robustness of control documentation; reasonableness of control assessment approach and sample selection; consistency of design effectiveness and operating effectiveness conclusions with supporting evidence; and appropriateness of documented issues and action plans to remediate identified control failure., • Ensures work is produced and documented in alignment with quality and content requirements., • Provides clear and transparent updates on remediation progress, • Exercises independent judgment in identifying and assessing risk., • Prepares, reviews, and presents review and challenge results to Leadership, including outlining the risk of control deficiencies, • Ensures observations and findings are documented and escalated to appropriate leadership., • Exercises effective communication and promotes positive client relations with business line colleagues and management, • Maintains authoritative knowledge and understanding of laws and regulations, regulatory guidance, policy, and procedures for operational functions covered., • Provides 2LOD audit and regulatory exam support., • Executes additional departmental initiatives and other duties as assigned. WHAT DO YOU NEED TO SUCCEED?Required Qualifications* • Bachelor's Degree or equivalent, • Minimum 7 years of experience in financial services industry, with at least five years in an operational risk management, internal audit, or compliance role, • Minimum 3 years of control assessment and validation experience, • Minimum 1 year of supervisory experienceAdditional Qualifications, • Bachelor's degree or higher and other professional qualifications such as a CPA, CA, etc., • Strong business knowledge of financial services, • Understanding of Risk Management/Operational Risk Management and Internal Controls testing methodology, • Strong knowledge of issue management practices with proven experience in issue management design and/or execution, • Ability to handle complexity and ambiguity, • Proven track record building strong relationships across multiple business functions, • Ability to deal effectively with conflict, • Well-developed influencing, analytical and problem solving skills, • Must be able to convey complex concepts in a clear and concise manner, • Ability to work independently with effective time and project management, • Ability to work in a matrix environment, • Strong interpersonal/teamwork skills, • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date, • Generous 401(k) company matching contribution, • Career Development through Tuition Reimbursement and other internal upskilling and training resources, • Valued Time Away benefits including vacation, sick and volunteer time, • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs, • Career Mobility support from a dedicated recruitment team It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

Senior 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

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. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 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).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Lead Machine Learning Engineer (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. 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. New York, NY: $211,000 - $240,800 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).

SR. AUDIT MANAGER- BSA/AML WHAT IS THE OPPORTUNITY?The Senior Audit Manager will lead a team of auditors to assess the design and operating effectiveness of internal controls, adherence to regulatory requirements and Bank policies, and the effectiveness of operations of the BSA/AML function. The Senior Manager will be responsible for all aspects of the audit, including the planning, execution, and reporting phases. The Senior Manager will also be involved in internal and external issue validation as well as audit continuous monitoring activities; along with Data Analytics to support continuous monitoring, leveraging the use of information analytics, business intelligence, data mining, and other technologies and tools. WHAT WILL YOU DO? • Providing independent and objective evaluation of the adequacy and effectiveness of Anti-Money Laundering (AML) and Office of Foreign Assets Control (OFAC) practices for City National Bank (CNB), • Championing a thorough understanding of the AML and BSA requirements, including but not limited to the Bank Secrecy Act and OFAC regulations, guidance, and regulatory expectations, • Support the Director of Audit AML BSA by helping to lead and execute CNB BSA/AML and OFAC audits, including through the audit planning, execution, reporting, and issue remediation phases., • Assists with the development of audit budget estimates for respective area of focus, • Assists with the development of the annual risk assessment and audit plan, • Leads and performs continuous monitoring activities periodically for the area assigned, • Maintains ongoing relationships with management of auditable units, • Keeps informed of new services, products and events that have a significant business and technology impact, • Keeps abreast of changes in the business, regulatory, and control environments in which City National Bank operates, especially for audit areas assigned, • Tracks and manages audit resources to meet the audit budget and audit plan mandates, • Supports a high-performance environment and implements a people strategy that attracts, retains, develops and motivates the team for continuous learning and improvement by fostering an inclusive work environment, communicating vison/ strategy, coaching, and supporting development goals., • Complies fully with all Bank policies and procedures as well as all regulatory requirements (e.g. Bank Secrecy Act, Know Your Client, Community Reinvestment Act, Fair Lending Practices, Code of Conduct, etc.). WHAT DO YOU NEED TO SUCCEED?Required Qualifications* • Bachelor's Degree or equivalent, • Minimum 7+ years of audit experience in an internal audit role within the banking or financial services industry, or with an public accounting firm., • Minimum 3 years' experience managing direct reports and demonstrated ability to develop peopleAdditional Qualifications, • CPA or CIA preferred. Other certifications (e.g., CRMA, CFA, CFE, CAMS, Chartered Accountant) are favorable, • A thorough understanding of regulatory and compliance policies and procedures., • Possess expert understanding of internal audit methodology and principles., • Ability to be resourceful, a self -starter, possessing a high degree of flexibility, creative thinking and confidence to carry out innovative solutions., • Well-developed judgment, management, decision-making and problem-solving skills are required in order to effectively deal with a rapidly changing, complex business environment., • Good time management skills in order to manage multi-functional accountabilities through prioritization, delegation, motivation, conflict resolution and the promotion of ideas., • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date, • Generous 401(k) company matching contribution, • Career Development through Tuition Reimbursement and other internal upskilling and training resources, • Valued Time Away benefits including vacation, sick and volunteer time, • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs, • Career Mobility support from a dedicated recruitment team It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job. #LI-KTB #CA-KTB

Senior Manager, Information Security Office (ISO) Consultant At Capital One, you will help consult on initiatives, programs, and projects to raise their game in Information Security. You are pragmatic and practical in your understanding of risk and security, but also willing to know when to pull in experts and escalate. You collaborate and innovate with other teams within Capital One to push the envelope. You are comfortable with Cloud Service technologies like Storage Services, Security & Access Control Management, Container Services, and API Implementation and Management. You are familiar with various Cloud computing models to include IaaS, PaaS, and SaaS along with their architectural differences. Security is essential to what we do here, from protecting our customers to our associates. Responsibilities: The Senior Lead ISO Consultant will provide cyber security architecture advisory support needed to build the Technology & Business capabilities on a novel Modern platform, that will enable customer set-up, use, and management of a Capital One Credit Card, including Data Product. In this role, the responsibilities will include: * Act as a central Information Security point of contact for the Global Payment Networks line of business * Coordinate and execute proactive Information Security consulting to the business and technology teams covering Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access Management * Serve as an expert in Capital One’s Information Security capabilities, solutions, policies, procedures and standards * Collaborating with enterprise cyber teams and tech architects in defining and driving the cyber architecture strategy and guiding principles for the architecting and designing of the modern platforms. * Support security architecture and implementation needs for technology modernization efforts * Overseeing all cyber related dependencies across the multiple components being built for the modernization effort. * Influence customers to leverage security capabilities and solutions to shift and integrate security to the left in the development processes * Escalate and manage cyber security risk * Provide ad-hoc support on special Information Security hot topics for the business * Provide regular updates to executive leadership with your line of business on the overall Information Security health and risk environment * Work with line of business leadership to anticipate their objectives and needs to better serve the line of business * Support the team on collectively mapping technologies to a standardized framework in order to identify and execute on best practices in risk reduction through the configuration of cybersecurity tools and platforms. * Support the development, modification, and use of capability, risk, or threat classification frameworks and standardization methodologies to facilitate the conduct of correlative capability, maturity, and effectiveness evaluations. * Support data validation and communications on the impact of identified operational, compliance, process, control, and tooling gaps and potential remediation courses of action to multiple audiences, including leadership, to support the enhancement of their cybersecurity postures. About You: * You have a desire to work in a very fast moving, forward leaning, and modern computing environment * You have a deep passion for Securing modern computing platforms * You have a strong desire to continually learn about new technologies * You possess strong conceptual thinking and communication skills * You are able to work well under minimal supervision * You are a demonstrated leader with team-oriented interpersonal skills and the ability to interface effectively with a broad range of people and roles, including upper management, IT leaders, and technology vendors * You maintain calmness and clarity of thought under pressure and ability to maintain confidentiality * You have a deep understanding of strategic business objectives and the ability to drive results toward those objectives Basic Qualifications: * High School Diploma, GED or equivalent certification * At least 6 years of experience working in cybersecurity or information technology * At least 5 years of experience providing guidance and oversight of cyber security concepts * At least 5 years of experience performing cyber security risk assessments or cyber security architecture reviews * At least 4 years of experience with cloud security Preferred Qualifications: * Bachelor’s Degree * 7+ years of experience in securing a public cloud environment (AWS, GCP, Azure) * 6+ years of cyber security advisory and technology consulting experience * 6+ years of experience in Cyber Risk Management * 3+ years of experience on cryptography, HSMs and similar systems * Knowledge of HPNS, ATM, Mainframe technologies and other payment networks infrastructure technologies * Experience in security integration for Mergers and Acquisitions * Experience with PCI and Payment Network Compliance. * Professional certifications AWS Certified Solutions Architect and Certified Information Systems Security Professional (CISSP) 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. Chicago, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical McLean, VA: $225,400 - $257,200 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical 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).

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 151,400.00 - 227,200.00 Compensation: Compensation includes a base salary of $151,400.00 - $227,200.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Job Description The salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills, and expertise. Hybrid: 4 days in office/1 day remote Join UP! We are lighting the path home, one person at a time. About Urban Pathways Since 1975, Urban Pathways has engaged New York City’s most vulnerable residents, people on the streets or in areas unfit for human habitation, “lighting the path home, one person at a time.” Urban Pathways is a catalyst for transformative change in the lives of unhoused adults, empowering them to discover their inherent strengths and abilities. We provide essential support and foster an environment where individuals can redefine their narratives and become their best selves. Job Summary Reporting to the Medical Director, the Program Evaluator for the Proactive Support Team (PST) program will have a central role in documenting the impact of the PST model, supporting replication across sites, and producing evaluation reports that inform system-level improvements. The Program Evaluator will be responsible for leading data management, evaluation, and outcome measurements across the initiative. This role ensures that program fidelity, feasibility, scalability, and sustainability are rigorously assessed, and that data drives both daily practice and long-term strategy. The Program Evaluator will work closely with program leadership, frontline staff, and external evaluators to design, manage, and interpret qualitative and quantitative data systems, ensuring accurate reporting to funders and stakeholders. The Program Evaluator will be an active listener, provide high-quality customer service, and respond by exhibiting cross-cultural awareness with the ability to promote and contribute to an equitable and inclusive anti-racist organizational culture and environment. Key Responsibilities & Essential FunctionsEvaluation & Data Systems • Design and oversee data collection systems to track engagement, service utilization, housing stability, and health outcomes., • Develop and manage program logic models, KPIs, and fidelity monitoring tools., • Conduct internal program evaluation, including pre/post surveys, staff fidelity assessments, and resident outcome tracking., • Collaborate with external evaluators to ensure independent validation of results., • Prepare IRB protocols and ensure compliance with ethical research standards., • Conduct both qualitative (e.g., interviews, focus groups) and quantitative (e.g., statistical analysis, dashboards) evaluations., • Produce monthly dashboards, quarterly performance reports, and annual evaluation summaries for funders and leadership., • Support continuous quality improvement by providing timely feedback loops to program staff.Collaboration & Capacity Building, • Work with program staff to integrate evaluation findings into daily practice., • Train staff in data literacy, documentation standards, and fidelity to the PST engagement model., • Support program leadership in aligning evaluation findings with organizational strategic priorities., • Disseminate findings to stakeholders, including through conference presentations, peer-reviewed publications, and policy briefs. Administrative & Reporting, • Ensure timely submission of accurate evaluation reports to Helmsley Charitable Trust and other funders., • Manage data entry and reporting platforms (e.g., AWARDS, Excel, statistical packages)., • Assist with grant applications by providing evaluation data, outcomes analysis, and projected impact metrics., • Communicate effectively, both verbally and in writing, in a professional manner., • Facilitate and attends meetings, training, and supervisory sessions., • Master’s degree in Public Health, Social Work, Psychology, Evaluation Science, Data Analytics, or a related field required., • At least 3 years of experience in program evaluation, applied research, or data analytics in a human services or healthcare setting., • Strong knowledge of evaluation frameworks (logic models, outcomes-based evaluation, CQI)., • Proficiency in both quantitative and qualitative methods., • Skilled in data visualization and dashboard creation (Excel, Power BI, Tableau, or similar)., • Excellent communication skills, with ability to translate data into actionable insights for staff and leadership., • Strong problem-solving and project management skills., • A valid driver's license is required, with an acceptable driving record that complies with our insurance policy standards., • Ability to conduct fieldwork and interviews as needed., • Fieldwork may include visiting program sites, conduct interviews, and observing engagement practices., • May be required to work a flexible schedule including weekends, holidays, and evenings., • Ability to sit, stand, walk, bend, stoop, push, pull, lift (up to 25 lbs.)., • Desire to perform the essential functions of this job., • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions., • Comfortable with using public transportation to travel to and from various programs sites Urban Pathways offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. These benefits include: • Healthcare Coverage: Medical, dental, and vision insurance plans to keep you and your family in good health., • Retirement Savings: A 403(b) plan and a 401(a) with employer annual contribution to help you plan for a secure financial future., • Paid Time Off: Generous paid time off, including vacation, holidays, and personal days., • Professional Development: Opportunities for continuous learning and professional development to enhance your skills and advance your career., • Flexible Work Arrangements: Work-life balance is important to us, and we offer flexible work arrangements to accommodate your needs., • Wellness Programs: Employee wellness programs, including fitness initiatives and mental health support., • Employee Assistance Program (EAP): Confidential counseling and support services for personal or work-related issues., • Employee Recognition: Recognition programs to celebrate and reward outstanding contributions.

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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).

Applied Researcher 1 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * 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. Sales Territory: $234,000 - $267,000 for Applied Researcher II Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * 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 * 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 * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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).

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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant's success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms.

Job Description The salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills, and expertise. Hybrid: 4 days in office/1 day remote Join UP! We are lighting the path home, one person at a time. About Urban Pathways Since 1975, Urban Pathways has engaged New York City’s most vulnerable residents, people on the streets or in areas unfit for human habitation, “lighting the path home, one person at a time.” Urban Pathways is a catalyst for transformative change in the lives of unhoused adults, empowering them to discover their inherent strengths and abilities. We provide essential support and foster an environment where individuals can redefine their narratives and become their best selves. Job Summary Reporting to the Medical Director, the Program Evaluator for the Proactive Support Team (PST) program will have a central role in documenting the impact of the PST model, supporting replication across sites, and producing evaluation reports that inform system-level improvements. The Program Evaluator will be responsible for leading data management, evaluation, and outcome measurements across the initiative. This role ensures that program fidelity, feasibility, scalability, and sustainability are rigorously assessed, and that data drives both daily practice and long-term strategy. The Program Evaluator will work closely with program leadership, frontline staff, and external evaluators to design, manage, and interpret qualitative and quantitative data systems, ensuring accurate reporting to funders and stakeholders. The Program Evaluator will be an active listener, provide high-quality customer service, and respond by exhibiting cross-cultural awareness with the ability to promote and contribute to an equitable and inclusive anti-racist organizational culture and environment. Key Responsibilities & Essential Functions Evaluation & Data Systems • Design and oversee data collection systems to track engagement, service utilization, housing stability, and health outcomes., • Develop and manage program logic models, KPIs, and fidelity monitoring tools., • Conduct internal program evaluation, including pre/post surveys, staff fidelity assessments, and resident outcome tracking., • Collaborate with external evaluators to ensure independent validation of results., • Prepare IRB protocols and ensure compliance with ethical research standards., • Conduct both qualitative (e.g., interviews, focus groups) and quantitative (e.g., statistical analysis, dashboards) evaluations., • Produce monthly dashboards, quarterly performance reports, and annual evaluation summaries for funders and leadership., • Work with program staff to integrate evaluation findings into daily practice., • Train staff in data literacy, documentation standards, and fidelity to the PST engagement model., • Support program leadership in aligning evaluation findings with organizational strategic priorities., • Ensure timely submission of accurate evaluation reports to Helmsley Charitable Trust and other funders., • Manage data entry and reporting platforms (e.g., AWARDS, Excel, statistical packages)., • Assist with grant applications by providing evaluation data, outcomes analysis, and projected impact metrics., • Communicate effectively, both verbally and in writing, in a professional manner., • Facilitate and attends meetings, training, and supervisory sessions. Qualifications, Education and Experience • Master’s degree in Public Health, Social Work, Psychology, Evaluation Science, Data Analytics, or a related field required., • At least 3 years of experience in program evaluation, applied research, or data analytics in a human services or healthcare setting., • Strong knowledge of evaluation frameworks (logic models, outcomes-based evaluation, CQI)., • Proficiency in both quantitative and qualitative methods., • Skilled in data visualization and dashboard creation (Excel, Power BI, Tableau, or similar)., • Excellent communication skills, with ability to translate data into actionable insights for staff and leadership., • Strong problem-solving and project management skills., • A valid driver's license is required, with an acceptable driving record that complies with our insurance policy standards., • Ability to conduct fieldwork and interviews as needed., • Fieldwork may include visiting program sites, conduct interviews, and observing engagement practices., • May be required to work a flexible schedule including weekends, holidays, and evenings., • Ability to sit, stand, walk, bend, stoop, push, pull, lift (up to 25 lbs.)., • Desire to perform the essential functions of this job., • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions., • Comfortable with using public transportation to travel to and from various programs sites Urban Pathways offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. These benefits include: • Healthcare Coverage: Medical, dental, and vision insurance plans to keep you and your family in good health., • Retirement Savings: A 403(b) plan and a 401(a) with employer annual contribution to help you plan for a secure financial future., • Paid Time Off: Generous paid time off, including vacation, holidays, and personal days., • Professional Development: Opportunities for continuous learning and professional development to enhance your skills and advance your career., • Flexible Work Arrangements: Work-life balance is important to us, and we offer flexible work arrangements to accommodate your needs., • Wellness Programs: Employee wellness programs, including fitness initiatives and mental health support., • Employee Assistance Program (EAP): Confidential counseling and support services for personal or work-related issues., • Employee Recognition: Recognition programs to celebrate and reward outstanding contributions.Company DescriptionUrban Pathways serves as the first point of contact for New York City's most vulnerable residents - people living on the streets, in subways, or in public areas. An innovative and data-driven leader, Urban Pathways is known for the effectiveness of our "housing first" approach. We engage individuals where they are in the cycle of homelessness. Through outreach and drop-in center services, transitional, long-term and permanent housing, and comprehensive support services, Urban Pathways helps more than 2,000 homeless men and women take control of their lives and find their way home. Urban Pathways is a 501(C)3 non-profit organization. We seek to hire talented and highly motivated individuals who will partner with us to provide excellent service to our clients.Urban Pathways serves as the first point of contact for New York City's most vulnerable residents - people living on the streets, in subways, or in public areas. An innovative and data-driven leader, Urban Pathways is known for the effectiveness of our "housing first" approach. We engage individuals where they are in the cycle of homelessness. Through outreach and drop-in center services, transitional, long-term and permanent housing, and comprehensive support services, Urban Pathways helps more than 2,000 homeless men and women take control of their lives and find their way home. Urban Pathways is a 501(C)3 non-profit organization. We seek to hire talented and highly motivated individuals who will partner with us to provide excellent service to our clients.

We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape. Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation. Collaborate

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionCHEF-IN-TRAINING [Restaurant Team Member] $16.50 - $18 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS! ABOUT THE ROLE: The next generation of chefs are evolving in DIG restaurants. Our scratch based kitchens are built around people with a true passion for real good food. We teach individuals who are excited to share their enthusiasm for food and transform them into skilled chefs. You will advance and gain the ability to work with food, develop leadership skills, and stay sharp in our fast-pace culinary environment. If you are seeking a community where education, purpose, and taste matter, we encourage you to join our fa(r)m. YOU WILL: • Prep, mix, and cook vegetables, proteins, grains etc using recipes as a guide and taste buds for validation., • Gain exposure to different stations within the DIG kitchen including but not limited to garde manger, grill, roast, market line, guest concierge and delivery/packout., • Speak to current menu offerings, seasonality, and ingredients with guests - making their day as you provide them with a delicious scratch-made meal (aka: marketbowl)., • Work to support the team during peak and off peak service, by pitching in wherever and whenever necessary., • Multi-task and move in the kitchen for extended periods of time. These physical requirements may be accomplished with or without reasonable accommodations., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies., • A passion for real, good food and a desire to learn culinary practices and skills., • The ability to demonstrate and execute a strong work ethic., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The ability to perform other physical requirements such as seeing, hearing, speaking, reaching, bending, and moving intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations., • A team-oriented focus. You have a deep appreciation for the people you work with and help to support the restaurant’s success., • Excellent communication skills, both verbal and written., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges. Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job Description Responsible for a portfolio of customers in the pharmaceutical packaging industry. The successful candidate will work in a multicultural environment in a NYC based office, under the supervision of the Customer Service Manager. The position involves administering customer orders in an SAP computer system, coordinating manufacturing schedules with our plants (in EU and Asia) and delivery schedules with our Logistic partners, updating the forecast and supporting the Sales Managers within a specific customer portfolio. Building report and Clear communication with the customer base are the most critical functions. The Customer Service Representative will be engaged in facilitating account administration such as ensuring on time payments and inventory control. ESSENTIAL DUTIES AND RESPONSIBILITIES • Manage all ordering and logistic communication with client portfolio, • Create and maintain clients’ accounts in SAP (new customer, price list, cross reference lists, surcharges), • Maintain administrative files (Network/CRM: orders, paperwork, POs status), • Update the forecasting tool to ensure all data are accurate, • Sales support (Samples, new development), • Late payment (reminders level 1, fill in tracking document), • Control and manage inventory in local US warehouse (when applicable) EDUCATION AND EXPERIENCE • Minimum of 2 years of trade school (with appropriate experience) or university degree in related subjects to job description., • Good communication skills (oral and written), • Team player, organized, detailed oriented, quick learner, • Comfortable in a multicultural, multilingual environment, • Spanish and French prerequisite COMPUTER SKILLS • Very comfortable with IT tool (ERP system, forecasting tool, Microsoft Office suite). SAP experience is a plus