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Associate, Market Risk 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! The Difference You Make: The Associate, Market Risk monitors the liquidity risk metrics operates within Liquidity Policy guidelines and limits. This position will develop and implement all Regulatory and Corporate Liquidity Policy standards for market risk activities, lead discussions with management, and compare the Company risk profile against industry information. • Observes, analyzes and implements US regulation and Liquidity Policy Guidelines., • Documents effectively Liquidity assumptions, developing procedures related with daily and monthly liquidity process., • Identifies and contributes to resolution of emerging risk issues related to Liquidity Risk processes and exposure, anticipating and acting proactively on minimizing risk., • Ensures the commitment of the liquidity risk policy guidelines and the contingency plans, monitoring early warning indicators and warning about liquidity events,, • Assists with the validation, reconciliation and analysis of data, ensuring its accuracy, validating and implementing liquidity risk measurement methods., • Compares the Company risk profile against industry information. 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 or equivalent work experience: Business, Finance, Management, or equivalent field. - Required. 5+ Years Risk Management/Controls - Required. • Advanced understanding of key inherent risk and market risk management control practices to perform periodic analysis with critical reasoning for high management reporting., • Strong market risk management principles, methodologies and tools, governance principles and activity preferably in a financial services technology environment., • Knowledge of workflow/processes and risks/controls, including: origination, underwriting, servicing, and collections/workout., • Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across business, functions, geographies and lines of defense., • Ability to handle conflict resolution with other groups to ensure appropriate accounting guidance is followed., • Ability to adjust to new developments/changing circumstances., • Ability to convey a sense of urgency and drive issues/projects to closure., • Ability to effectively interact with the market, executive management and vendors., • Ability to adapt and adjust to multiple demands and competing priorities., • Excellent written and oral communication skills., • Strong analytical, organizational and project management skills. 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: $90,000.00 USD Maximum: $155,000.00 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, Madison Ave Corp Other Locations: New York-New York Organization: Banco Santander S.A.

We are seeking a dynamic and strategic credit leader to develop and manage an integrated set of credit underwriting strategies for our personal loan product. This role is pivotal in driving resilient, risk-adjusted growth through data-driven decision-making, innovative frameworks, and cross-functional collaboration. The ideal candidate will bring deep expertise in consumer lending, pricing optimization, effective communication, and credit risk management, along with a proven track record of building high-performing teams and delivering strategic impact across the full credit lifecycle. In the Role Strategic Leadership * Lead the development and execution of underwriting strategies that balance risk, margin, and volume across products and customer segments. * Design and scale best-in-class credit infrastructure to support operational efficiency, automated risk management, and valuations. * Create and drive strategic credit initiatives that align with enterprise goals and unlock resilient business growth. Team & Talent Development * Build, lead, and coach a high-performing team of credit analysts and managers. * Foster a culture of excellence, accountability, and continuous development. Analytical & Technical Execution * Conduct advanced statistical analysis and modeling using regression and machine learning to understand customer behavior and forecast outcomes. * Develop profit-driven decision frameworks and risk strategies within risk appetite, with a full credit-cycle view. * Oversee reporting, performance monitoring, and strategy validation to ensure continuous improvement. Cross-Functional Collaboration * Partner with product, finance, risk, and operations teams to drive improved credit performance across the organization. * Act as both a strategic leader and internal customer to ensure alignment and execution of business priorities. Communication & Influence * Translate complex data into actionable insights for executive leadership. * Communicate strategy progress, performance, and recommendations to senior stakeholders. Requirements * Bachelor’s degree in a quantitative discipline (e.g., Engineering, Statistics, Economics, Business Management, Computer Science); Master’s or PhD preferred * 10+ years of experience in consumer lending, with deep expertise in pricing, credit strategy, and risk analytics * 5+ years of leadership experience, including team development and strategic planning * Proven ability to develop innovative, data-driven solutions to complex business problems * Strong knowledge of pricing optimization tools, credit decisioning frameworks, and customer segmentation techniques * Exceptional communication and stakeholder management skills Location: Baltimore, MD or New York, NY Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: * Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount) * Tuition reimbursement * Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) * Paid sick leave as determined by state or local ordinance, prorated based on start date * Paid holidays (7 days per year, based on start date) * Paid volunteer time (3 days per year, prorated based on start date)

JOB DESCRIPTION Looking for a RN that has a current active unrestricted license This a remote role and can sit anywhere within the United States. Work Schedule Monday to Friday - operation hours 6 AM to 6 PM (Team will work on set schedule) Looking for a RN with experience with appeals, claims review, and medical coding. Job Summary Utilizing clinical knowledge and experience, responsible for review of documentation to ensure medical necessity and appropriate level of care utilizing MCG/InterQual, state/federal guidelines, billing and coding regulations, and Molina policies; validates the medical record and claim submitted support correct coding to ensure appropriate reimbursement to providers. Job Duties • Performs clinical/medical reviews of retrospective medical claim reviews, medical claims and previously denied cases, in which an appeal has been submitted, to ensure medical necessity and appropriate/accurate billing and claims processing., • Identifies and reports quality of care issues., • Assists with Complex Claim review including DRG Validation, Itemized Bill Review, Appropriate Level of Care, Inpatient Readmission, and any opportunity identified by the Payment Integrity analytical team; requires decision making pertinent to clinical experience, • Documents clinical review summaries, bill audit findings and audit details in the database, • Provides supporting documentation for denial and modification of payment decisions, • Independently re-evaluates medical claims and associated records by applying advanced clinical knowledge, knowledge of all relevant and applicable Federal and State regulatory requirements and guidelines, knowledge of Molina policies and procedures, and individual judgment and experience to assess the appropriateness of service provided, length of stay and level of care., • Reviews medically appropriate clinical guidelines and other appropriate criteria with Medical Directors on denial decisions., • Supplies criteria supporting all recommendations for denial or modification of payment decisions., • Serves as a clinical resource for Utilization Management, Chief Medical Officers, Physicians, and Member/Provider Inquiries/Appeals., • Provides training and support to clinical peers., • Identifies and refers members with special needs to the appropriate Molina Healthcare program per policy/protocol. JOB QUALIFICATIONS Graduate from an Accredited School of Nursing REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES: • Minimum 3 years clinical nursing experience., • Minimum one year Utilization Review and/or Medical Claims Review., • Minimum two years of experience in Claims Auditing, Medical Necessity Review and Coding experience Active, unrestricted State Registered Nursing (RN) license in good standing. PREFERRED EDUCATION: Bachelors’s Degree in Nursing or Health Related Field PREFERRED EXPERIENCE: Nursing experience in Critical Care, Emergency Medicine, Medical Surgical, or Pediatrics. Advanced Practice Nursing. Billing and coding experience. PREFERRED LICENSE, CERTIFICATION, ASSOCIATION: Certified Clinical Coder, Certified Medical Audit Specialists, Certified Case Manager , Certified Professional Healthcare Management, Certified Professional in Healthcare Quality or other healthcare certification. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $26.41 - $61.79 / HOURLY *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Model Validator Model Validations Team, Insurance, Product & Model Risk Full Time Springfield, MA, Boston, MA or New York, NY The Opportunity As a member of the Enterprise Risk Management (ERM) organization at MassMutual, you will partner with various business areas to conduct independent model validations for a wide variety of models, integral to critical business decision making, product pricing, financial reporting, risk mitigation activities and business processes. The Team The Model Validations team is comprised of seasoned professionals with expertise in actuarial, financial, risk, investment and capital markets models, who are also building knowledge in emerging areas of importance, such as data science, machine learning and artificial intelligence. The team conducts independent validations on a wide variety of models to ensure the company’s models are conceptually sound and performing as expected. The Impact You will utilize your actuarial, investment, and capital risk modeling expertise to conduct best-practice model validation activities, helping protect the company’s reputation and financial stability through robust management of risks associated with the use of these models. If you are someone that has a passion for complexity, continuous improvement, learning and curiosity about different points of view, this may be the right role for you. Specific expectations from this role: * Build relationships, influence, collaborate and learn various aspects of our business from many modelers, data-scientists, actuaries and business leaders at MassMutual. * As a risk advisor, participate in the design, development and implementation of new models * Conduct model validations in accordance with corporate model governance policy requirements and timelines, leveraging deep modeling, asset pricing, actuarial and regulatory expertise. * Assess model design, theoretical construction, methodology, applicability, and resilience within evolving economic and risk environments, in accordance with corporate, actuarial and/or regulatory standards. * Validate accuracy of model calculations, algorithms, and any embedded automation / programming code base. * Design and implement tests to ensure model performance and model output are as expected. * Prepare and distribute model validation documentation, which meets model governance requirements. * Test remediation of validation findings. * Continuously research and provide guidance on the use of new and innovative analytical techniques. The Minimum Qualifications * Bachelor’s degree in Actuarial Science, Finance, Econometrics, Statistics, Mathematics, Physics, or another quantitative discipline * 5+ years of direct experience in one of the following: * Capital markets and/ or investment risk * Quantitative asset pricing models * Liability hedging strategies * Statistical methods of analysis * 3+ Microsoft Excel, Access, and VBA * 3+ experience with Python The Ideal Qualifications * Possess one or more of the following designations * Associate of Society of Actuaries (ASA) * Fellow of Society of Actuaries (FSA) * Charter Financial Analyst (CFA) * Certificate in Quantitative Finance (CQF) * Financial Risk Manager (FRM) * 7+ years of direct experience in one of the following: * Capital markets and investment risk * Quantitative asset pricing models * Insurance liability hedging strategies * Statistical methods of analysis * ALM and annuity product pricing experience * Knowledge of commercial software, including Prophet, GGY AXIS and Moody's asset models * Strong statistical, risk, analytical, modeling, and problem-solving skills * Ability to see the big picture with meticulous attention to detail * Strong communication and collaboration skills, both written and verbal * Demonstrated accountability and ownership of self-development * Ability to build and maintain strong working relationships within and across teams, while challenging in a constructive manner * Strong execution and time management skills What to Expect as Part of MassMutual and the Team * Regular meetings with the Model Validations Team * Focused one-on-one meetings with your manager * Access to mentorship opportunities * Networking opportunities including the Actuarial Gathering, 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 business 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.

Director, 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! The Difference You Make: The Director, Credit Risk leads the design, implementation, and oversight of risk strategies and governance frameworks for Santander’s consumer lending portfolios. This role is accountable for ensuring credit policy, model governance, and decisioning strategies are effectively aligned with risk appetite and business objectives. The Director partners with teams across Credit Risk, Data Science, Product, and Technology to ensure analytical insights translate into sound portfolio management, profitability, and regulatory compliance. General Responsibilities • Provide strategic leadership in the design and execution of credit risk management frameworks, policies, and decision strategies., • Lead portfolio performance assessment and ensure alignment with risk appetite and business strategy., • Oversee risk analytics, model performance monitoring, and governance of key risk indicators., • Direct the development and enhancement of credit decision engines and automation capabilities in partnership with technology teams., • Engage with executive stakeholders to communicate portfolio trends, risk exposures, and mitigation actions., • Partner with compliance and audit functions to ensure adherence to regulatory standards and internal controls. Implementation Oversight & Governance • The Director oversees the translation of business and risk strategies into operational decision systems and ensures governance of all implementation activities across the credit risk function. This includes leading teams that manage the deployment, testing, and validation of decision engine logic, ensuring the precision, integrity, and compliance of automated decision processes. Strategy Implementation • Oversee the design and translation of business and credit strategies into decision engine configurations and rules logic., • Ensure strategic intent is accurately represented in decision platforms through strong collaboration with Credit Policy, Model Development, Analytics, and Technology teams., • Direct governance reviews of proposed strategy changes to ensure consistency, control, and alignment with Santander’s risk appetite. Testing & Validation • Establish frameworks for testing and validating decision logic, models, and strategy deployments., • Oversee quality assurance processes to verify that system outputs align with approved credit policies and risk frameworks., • Drive post-implementation reviews and ensure corrective actions are identified and executed in a timely manner. Performance Monitoring • Lead ongoing monitoring of decision engine performance, including automation rates, approval trends, and error detection., • Partner with analytics and reporting teams to assess the business impact of strategy adjustments and model-driven decisions., • Use insights from performance tracking to inform continuous improvement and portfolio optimization initiatives. Cross-Functional Collaboration • Coordinate across Risk, Technology, Operations, and Product teams to ensure cohesive delivery of credit risk strategies and system updates., • Lead discussions on platform enhancements and new capabilities to support evolving risk and business needs., • Represent Credit Risk in governance forums, audits, and model validation reviews, ensuring transparent documentation and communication of implementation decisions. 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., • 12+ Years Risk Management, Credit Risk or Internal Audit experience. - Required., • 12+ Years Financial Industry experience. - Required., • 12+ Years Consulting - Preferred., • 3+ Years Experience in software testing or quality assurance roles. Required, • Experience with decision engines such as FICO , Experian PowerCurve, or Provenir., • Advanced understanding of consumer credit risk, models, lending policies, and/or financial products., • Extensive experience working in a financial institution or fintech environment., • Strong analytical and problem-solving skills with attention to detail., • Strong Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus., • Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across business, functions, geographies and lines of defense., • Strong risk management principles, methodologies and tools, governance principles and activity preferably in a financial services technology environment., • Ability to direct, train and guide peers, subordinates and management., • Ability to strategically generate well supported conclusions based on trend analysis, credit risk due diligence performed, understanding of the Banks risk appetite and assessment of managements capabilities., • Ability to effectively interact and communicate with senior management across the enterprise., • 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., • Experience in Microsoft Office products. 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: $135,000.00 USD Maximum: $240,000.00 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.

Lead Analyst, Credit & Pricing Location: (Baltimore, MD; NYC) Hybrid The Role This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management. Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read. A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. Key Responsibilities: • Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems., • Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies., • Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment, • Drive profitable business growth via developing strategy optimization framework with full credit-cycle view, • Implement Quality Control processes to ensure data accuracy., • Continually enhance existing processes and reporting through automation, quality control, presentation and insights., • Effectively summarize and present results and insights to management. Qualifications: • Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred., • 4+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances, • Up to 4% matching 401(k), • Employee Stock Purchase Plan (10% share discount), • Tuition reimbursement, • Paid time off (15 days vacation per year, plus 2 personal days, prorated based on start date), • Paid sick leave as determined by state or local ordinance, prorated based on start date, • Paid holidays (7 days per year, based on start date), • Paid volunteer time (3 days per year, prorated based on start date) Target base salary is $105,000-$135,000 (Baltimore) and $105,000-$145,000 (NYC), which is based on various factors including skills and work experience.

Credit Risk Management Director 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! The Director, Credit Risk Management - Senior Vice President is responsible for risk analysis and independent oversight of credit quality of assigned portfolios. The incumbent is responsible for all aspects of credit quality including compliance with requirements of regulators and internal control and will recommend opportunities and proposed resolutions for improved efficiency, effectiveness, and/or risk reduction for the department. The Ideal Candidate Will Have: • Director level credit risk professional with diversified banking experience, advanced credit analysis and risk management skills, and in-depth knowledge of underwriting and portfolio management practices, policies, and procedures., • Experience in corporate, commercial and specialty lending, including middle market, mid-corporate and specialty portfolios, including ABL, Equipment Finance and Dealer Commercial Services, across diverse industries., • Strong negotiating skills, multitasking and organizational aptitudes, and proven ability to influence business partners. The Difference You Make: • Partners with Business Lines to recommend and vet new products initiatives, origination strategies, pre-approval and pre-qualification campaigns, underwriting techniques, peer group comparisons, and process optimization., • Assesses asset quality, status and appropriateness or existing risk controls/compliance with established underwriting policies/risk tolerance., • Ensures underwriting credit analysis is sound and justifies/mitigates the identified credit risk., • Provides a comprehensive range of risk management expertise requiring the creation, implementation and validation of various risk segmentation strategies using complex data., • Demonstrates subject matter expertise and serves as an authority and credible challenge to management regarding credit performance, potential or emerging risks, and business conformity with risk appetite, credit culture, and policies., • Delivers industry best practices, tools, guidance, and training to increase analytical capabilities and throughput., • Develops, implements and manages the Credit Risk projects assigned., • Develops and executes strategies and credit policies for lending and/or trading portfolios to mitigate credit risks without impacting portfolio growth or asset quality objectives and to correct risk budget deviations., • Reviews credit decisions analyzing sampling of loans and/or traded products to give feedback to the Credit Cycle and be in compliance with Regulations., • Establishes and oversees tactical plans to achieve desired asset quality for lending and/or trading portfolios including the design of annual credit management programs to monitor their compliance and deviations., • Approves credit proposal and monitoring. 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 or equivalent work experience: Accounting, Business, Statistics, Risk Management, Information Systems, Finance, Economics or equivalent field. - Required. Master’s degree - Accounting, Business, Statistics, Risk Management, Information Systems, Finance, Economics or equivalent field. - Preferred. 12+ Years Risk Management, Credit Risk, or Internal Audit - Preferred. 12+ Years Financial Services industry. - Required. 5+ Years Underwriting/Portfolio Management experience. - Preferred. • Advanced knowledge and understanding/competency in regulatory matters and compliance., • Advanced risk, process, and control validation and/or assessment skills., • Advanced credit and risk, process, and control validation and/or assessment skills., • Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across business, functions, geographies and lines of defense., • Demonstrated track record interacting and influencing regulators, external and internal audit., • Demonstrated expertise in Consumer and Banking businesses and applicable rules, regulations and processes., • Strong risk management principles, methodologies and tools, governance principles and activity preferably in a financial services technology environment., • Ability to direct, train and guide peers, subordinates and management., • Ability to strategically generate well supported conclusions based on trend analysis, credit risk due diligence performed, understanding of the Banks risk appetite and assessment of managements capabilities., • Ability to effectively interact and communicate with senior management across the enterprise., • Ability to convey a sense of urgency and drive issues/projects to closure., • Excellent written and oral communication skills., • Excellent analytical, organizational and project management skills., • Superior project management skills. 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: $135,000.00 USD Maximum: $240,000.00 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: Trenton, NJ, REMOTE - New Jersey Other Locations: New Jersey-Florham Park,Texas-Dallas,New York-New York,Massachusetts-Boston Organization: Santander Holdings USA, Inc.

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. 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 ___. 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 ___ 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 * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Intelligent Foundations & Experiences) 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. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead 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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer 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 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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $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 San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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 ___ 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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * 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 ___. 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 ___ 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 ___. 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 ___ 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, 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 Manager, ISO Consultant will provide cybersecurity 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 Commercial 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 cybersecurity 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 cybersecurity concepts * At least 5 years of experience performing cybersecurity risk assessments or cybersecurity architecture reviews * At least 4 years of experience with cloud security * At least 3 years of experience in Cyber Risk Management * At least 2 years of experience in Cyber Technical Program Management Preferred Qualifications: * Bachelor’s Degree * 7+ years of experience in securing a public cloud environment * AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP) certification At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Plano, TX: $204,900 - $233,800 for Sr Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 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 ___. 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead 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 ___. 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 ___ 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).

Overview Join our team as a night shift, full time, Emergency Room (ER) Registered Nurse in Westwood, NJ. Why Join Us? Thrive in a People-First Environment and Make Healthcare Better • Thrive: We empower our team with career growth opportunities, tuition assistance, and resources that support your wellness, education, and financial well-being., • People-First: We prioritize your well-being with paid time off, comprehensive health benefits, and a supportive, inclusive culture where you are valued and cared for., • Make Healthcare Better: We use advanced technology to support our team and enhance patient care., • The RN Staff Nurse functions as a caregiver for a specific patient population in order to achieve desired outcomes., • This position directs and oversees the care provided by other caregivers through delegation, validation, evaluation, and coordination., • This position effectively coordinates patient care/unit activities among nursing peers, physicians and support services. Job Requirements: • Graduate of a NLN/AACN accredited program in nursing., • 2 years experience, • Experience with electronic health records a plus, • Current valid NJ State Professional Registered Nurse license., • BLS certification must be obtained within 14 days of hire or transfer into the role and prior to providing direct patient care., • Advance Cardiac Life Support certification (ACLS), • Pediatric Advance Life Support ( PALS)

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. As the Senior Clinical Manager, Family Care you will shape and scale how Spring Health supports members and families through compassionate, evidence-based care. This role will support the growth of Spring Health's services for families, teens/adolescents, and children. You'll design and launch new clinical initiatives, guide cross-functional teams to deliver measurable outcomes, and ensure that every aspect of the family care experience reflects clinical excellence. This role blends strategic leadership with hands-on clinical engagement, serving as the bridge between care delivery, product innovation, and business impact. This is a full time position that is fully remote that will report to the Senior Director of the Specialty Care Programs. Occasional travel may be required for company or team events What you'll do: • Serve as clinical lead for providers, peer recovery, and care navigators involved in the family care experience, • In collaboration with key stakeholders, drive the strategic vision for family care, • Lead clinical design, development, and launch of family support programs, • Lead tracking and reporting on program outcomes, • Monitor and drive team performance on KPIs, including engagement in care, • Partner with Business Strategy, Product and Operations team members to drive program KPIs, • Develop integrations with health plans and build referral channels for identifying and routing members to care, • Support sales and account management teams as clinical expert, • Manage external partner provider relationships, • Licensed behavioral health practitioner (psychologist, social worker, therapist, or counselor) at least 5+ years post licensure, • Must have experience in direct care provision of children, teens/adolescents, and families., • Must have experience with supporting children and families with neurodiverse issues (e.g. ADHD, Autism Spectrum Disorders, Learning Disorders), • Must have school-based clinical care experience working with parents, caregivers, youth (children, adolescents) and/or young adults.Experience with school-based interventions, and coordination of care across academic and community based resources (e.g. knowledge of IEP's, IDEA, Section 504 Plan), • Knowledge of current best practices and evidence based treatments for ADHD, ASD, and LD, with a strong preference for experience and training in Applied Behavioral Analysis (ABA), Behavior Parent Training (BPT), and Parent-Child Interaction Therapy (PCIT), • Strong preference for additional clinical expertise in evidence based treatment of family/teens/children in; substance use disorders, eating disorders, severe depression/anxiety, and/or trauma., • Experience with motivational Interviewing, diagnostic assessment, and triage., • Knowledge of federal and state policies/guidelines for school-based accommodations, • Must be data driven and research-informed, • Must have experience working on interprofessional teams to manage patient care (e.g. psychiatry, peer support, case management, nursing, etc), • Must have experience in clinical program management, • Must have experience with clinical program design and implementation including experience collaborating with Product teams to build care team tools, • Must have experience managing clinical teams with demonstrated ability to inspire and lead a high-performing and highly-valued team, • Knowledge of and experience with healthcare systems including health plans, • Startup experience strongly preferred, • Comfort with EHRs and electronic case management tools, • Working knowledge of Google Office Suite (Google Docs, Sheets, Slides, Forms, etc.), • Proactive approach to project management, • Experience developing creative solutions to complex problems, • 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 Description Technical Analyst Location: New York, NY Duration: 12+ Months Job Summary: The Client is seeking a Technical Analyst to support the development, integration, and testing of data systems, including COPS 2.0 and legacy applications. The candidate will bridge the gap between technical teams and business users by analyzing requirements and ensuring successful data implementations. Key Responsibilities: Analyze business and technical requirements and develop system specifications. Document data flows, data mappings, and interface definitions. Support ETL processes, API integration, and batch jobs. Conduct data validation, QA testing, and exception handling. Assist with root cause analysis for data issues and recommend solutions. Collaborate with developers, DBAs, and QA to ensure accurate technical implementation. Qualifications: Bachelor's degree in Computer Science, Information Systems, or related discipline. 5+ years of experience in technical systems analysis or data integration. Strong SQL skills and understanding of relational databases. Experience with ETL tools (e.g., Informatica, Talend) and APIs. Knowledge of pension systems or financial applications preferred. Ability to write technical documentation and test cases.

Job DescriptionDescription: RK Pharma Inc, a US based company with subsidiaries in India, is seeking multiple manufacturing associates to help support our existing manufacturing line in efficient producing products for our clients. As a company focused on the development, manufacturing and sale of high quality and affordable generic pharmaceutical products worldwide we are looking for sharp, driven, detail-oriented individuals to help us grow our mid stage start up team. Requirements: If this sounds interesting to you, it’s probably because up to this point you have: • Worked in scientific manufacturing or have recently graduated from an engineering, life sciences or technical school and are looking to start your career., • You are organized and detail oriented but dread the thought of being tied to a desk all day., • Learn processes and procedures quickly and are excited to contribute to making them more streamlined and efficient., • Thrive in environments that are focused on being clean and organized. The main responsibilities for this position are: • Updating documentation of Batch Record, logbook and other related documentation with detail and accuracy., • Adhere to all aseptic practices and standard operating procedures by training and through on-the-job training., • Execution of compounding, filtration, filling, other unit operations like qualification, supporting operational activities as per Master batch records, Qualification protocols, Process validation protocols., • Writing all QMS documents and SOP preparation/ revisions time to time., • Other duties as assigned. CRITICAL REQUIREMENTS: MUST BE ABLE TO LIFT UP TO 50 LBS. AND ABLE TO STAND MOST OF THE WORKDAY MUST BE ABLE TO WORK A FLEXIBLE SCHEDULE INCLUDING NIGHTS AND WEEKENDS WHEN NEEDED. If this sounds like something that is of interest to you, please don’t hesitate to apply to start a conversation. We look forward to getting to know more about you and the skills you can bring to a company like RK Pharma Inc.

Job DescriptionCompany Description Since 1828, Guerlain - an iconic luxury French Perfume & Cosmetics brand, part of the LVMH Group - has explored, innovated and perfected its Fragrance, Skincare and Makeup thanks to its daring creators of mythical creations with timeless know-how. All with Nature and Art as inspiration and the Culture of Beauty as a signature. In Fragrance, Guerlain Master Perfumer, Thierry Wasser, embodies the fifth generation of Guerlain Perfumers. As a figure within the contemporary fragrance world, Thierry Wasser has put his name to many of the House’s creations. He contributes to an olfactory legacy of some 1100 fragrances and explores the world in search of the most exclusive raw materials. In Makeup, newly appointed Guerlain Creative Director of Makeup, Violette, seemed destined to join the house synonymous with French beauty and constant innovation. With her creativity, Parisian chic and eye for high standards, she knows better than anyone else that makeup is nothing if not the art of bringing out the beauty in each and every one of us. The House is committed to preserving biodiversity, innovating sustainably, acting for the climate and creating a positive social impact. Above all, Guerlain seeks to protect one of Nature’s most precious wonders: bees, sentinels of the environment and symbol of the House. Guerlain invites you today to join its North America teams. Guerlain is part of the LVMH Group Job Description The Media Manager will lead and support full funnel paid media tactics to support various business objectives. Digital Media Manager will be tasked with analyzing, managing, and optimizing Guerlain’s media strategy in the US to support brand equity objectives along with performance media goals. This role will work closely with Agency partners as well as strategically along-side the Digital & Communication teams to concept out, develop and launch all digital media initiatives that contribute to the brand 360 marketing support. This role will coordinate all aspects of digital campaign development with the agency and support teams to ensure deadlines, tracking requirements and goals have been successfully accomplished. Role will work closely with NA and Global brand Marketing and Creative Services to achieve overall project objectives and deliver assets in a timely fashion. This role will work in partnership with the Central team on asset coordination and market requirements as well as program validation. This role will ensure optimal user experience across all platforms and placements and consistently monitor program from start to end. Reports to: VP, Omni Positions Supervised: n/a Peers: Other Managers Internal Partners: Sales, Sales Administration, Training, Finance, Creative Services, Human Resources External Partners: Media Agency DRIVE MEDIA CAMPAIGNS • Lead media campaign strategies and execution with media agencies: oversee asset selection and adaptation per ad formats, optimize plans, and build comprehensive performance analyses hand-in-hand with E-Business team, • Search-specific: lead and execute Search efforts (SEA, SEO through HQ) hand-in-hand with E-Commerce team, • Establish performance marketing best practices, build ROI reports for each campaign with industry and/or competition benchmarks, enforce “test and learn” culture within media plans to constantly improve media goals and spend efficiency., • Maintain audience groups’ relevancy and refine segmentation with constant attention to behavior and ROI for media efforts., • Provide landscape study on competitors strategy for major launches and overall 3-axe plans and build recommendations to optimize communication strategy., • Track key metrics to benchmark social/paid digital marketing efforts through retailers and provide insights on media optimizations., • Establish relationships with Digital key players (Google, FB/IG, TikTok) and key Media partners (LVMH Media, LVMH Digital community, media agencies) to collect insights, recommendation, access betas and ensure Communication and Marketing teams are up-to-date with media innovations ; monitor relevant innovation from third-party vendors to optimize media efforts within budget., • Partner with all internal teams to amplify digital communication plans., • Act as “social/digital expert” to educate internal teams on social tools and metrics during dotcom initiative meetings., • Partner with Central teams to develop U.S.-centric assets and digital native content for media and brand social channels and influence timing of posts to better incorporate U.S./North American needs., • Partner with all internal teams to create holistic plans (social, e-retail, trade, in-store, etc.)., • Provide monthly market and competition insight reports with quarterly deep dives on best practices., • Track social performance per brand against market trends and key competitors, providing insights on how to optimize rankings., • Lead Brand communication on social platforms for the U.S.; maintain local pages for each Brand social platforms if applicable, track any relevant data on US audiences from global-led channels., • Budget management: manage, track budget for media and influencer boosting activities., • Ensure alignment with integrated multi-media (i.e. print/outdoor/online) advertising plans, • Consistently monitor and optimize campaigns to ensure success of investment, • Identify, communicate and document objectives and success metrics with the agency (e.g., engagement, views, online conversations, tonal sentiment, etc)Qualifications DIGITAL STRATEGY: • Partner with Central teams to develop U.S.-centric assets and digital native content for media and brand social channels and influence timing of posts to better incorporate U.S./North American needs., • Partner with all internal teams to create holistic plans (social, e-retail, trade, in-store, etc.)., • Provide monthly market and competition insight reports with quarterly deep dives on best practices., • Track social performance per brand against market trends and key competitors, providing insights on how to optimize rankings., • Lead Brand communication on social platforms for the U.S.; maintain local pages for each Brand social platforms if applicable, track any relevant data on US audiences from global-led channels., • Budget management: manage, track budget for media and influencer boosting activities., • Ensure alignment with integrated multi-media (i.e. print/outdoor/online) advertising plans, • Consistently monitor and optimize campaigns to ensure success of investment, • Identify, communicate and document objectives and success metrics with the agency (e.g., engagement, views, online conversations, tonal sentiment, etc) Additional Information Hybrid Model: • In office: Monday, Tuesday, Thursday All your information will be kept confidential according to EEO guidelines. LVMH Inc. uses the published salary range as a guideline to provide our employees with market competitive pay while allowing for flexibility to recognize and reward various levels of expertise, performance, and tenure. While the published salary range is a good faith reflection of the targeted salary level for the position, LVMH Inc. reserves the right to pay outside of the published range of $100,000 - $110,000.

Job DescriptionPosition Summary At MedReview, our mission is to bring accuracy, accountability, and clinical excellence to healthcare. As such, we are a leading authority in payment integrity solutions including DRG Validation, Cost Outlier and Readmission reviews. We are seeking a registered nurse with experience in clinical validation to work within our coding department. Candidate should be highly motivated, with strong clinical and coding background. This individual must have excellent communication skills and an analytical mindset to achieve and maintain high-level performance in a fast-paced environment. This is a fulltime position (40 hours per week) Monday – Friday. You’ll enjoy the flexibility to telecommute from anywhere within the United States. Training will be conducted virtually from your home. If you are interested in this role with MedReview, please let us know. Here is what we are searching for: Responsibilities: • Perform clinical validation by ensuring diagnosis codes billed by the provider are supported within the medical record, • Must be able to interpret clinical guidelines/criteria and apply to clinical review, • Solid understanding of anatomy and physiology, diagnostic and surgical procedures developed from specialized training and extensive experience with ICD-10-PCS code assignments, • Demonstrates the ability to accurately interpret the medical record, • Writes clear, accurate and concise rationales in support of findings, • Maintains and manages case reviews with a high emphasis on quality, • Demonstrates the ability to work in a high – volume production environment, • Minimum of two years’ experience in clinical validation in a payment integrity setting required, • May consider nurses with inpatient claims auditing experience or case management experience., • Unrestricted Registered Nurse with active RN licensure required, • CCS (Certified Coding Specialist) or CIC (Certified Inpatient Coder) certification preferred, • CCDS or CDIP Certification preferred, • Knowledge of ICD-10 coding, • Basic Knowledge of DRG validation and coding, • High speed internet (100 Mbps per person recommended) with secured WIFI., • A dedicated workspace with minimal interruptions to protect PHI and HIPAA information., • Healthcare that fits your needs - We offer excellent medical, dental, and vision plan options that provide coverage to employees and dependents., • 401(k) with Employer Match - Join the team and we will invest in your future, • Generous Paid Time Off - Accrued PTO starting day one, plus additional days off when you’re not feeling well, to observe holidays., • Wellness - We care about your well-being. From Commuter Benefits to FSAs, we’ve got you covered. Powered by JazzHR aBDzJ1rwvQ

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 - $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 At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology. Who are Engine by Starling Engine by Starling is transforming the banking landscape with our cutting-edge core banking software. Originally developed to power Starling, our cloud-native SaaS platform is now enabling banks and financial institutions globally to modernize operations and deliver exceptional digital banking experiences. We are headquartered in London with offices in Dublin, Sydney and Dubai. We've recently launched in North America where we are establishing an East Coast HQ, as well as our presence in Canada. This role will ideally be based in the New York metropolitan area, our preference is that you're located within a commutable distance. Other locations will be considered, and the role will include travel. About the role This role is a key leadership role on the Engine NA team and will help develop and sustain a compliant product development and delivery for the U.S. and Canadian markets. The purpose of this role is to guide the organization, working with both internal and external stakeholders, on developing a regulatory compliant offering for the U.S. and Canada. This role will ensure that Engine: • Meets the needs of customer requirements from a regulatory and compliance standpoint, • Meets the national and state regulation and reporting requirements, • Effectively delivers the product and capability enhancements to achieve an effective and compliant solution, • Demonstrates the capabilities of the Engine platform to adapt to regulatory reporting and controls The role works with multiple groups internal and external to the organization: • Collaborates with Product team to prioritize and guide product development for regulatory, legislative and client compliance requirements., • Engages key early customers to define requirements and set expectations for product delivery, • Engage regulators to gain feedback and validation on the Engine offering and how we are addressing regulatory needs, • Collaborate with Starling to identify points of synergy (or departure) from Starling model, • Support NA leadership team in understanding key compliance risks and deciding on key priorities to address that support client delivery and business model growth, • Collaborates with the Engine Information Security and Risk & Compliance Teams to support the delivery and implementation of the Risk Frameworks and Policies What you’ll get to do • Be the source of expertise for regulatory and compliance needs for Engine to achieve presence and growth in NA, • Lead development of regulatory and compliance roadmap working closely with product and the Risk teams, • Engage customers on their product and capability priorities, and ensure regulatory and compliance needs are reflected in Engine’s execution model, • Work as a member of the NA leadership team and work closely with the Engine Risk & Compliance Team to support the Engine Management Team in effective risk ownership, identification, management and mitigation., • Provide appropriate and timely Management Information (MI) and reporting to ensure the Management Team / Board are aware of all relevant matters and that issues are tracked to resolution., • Contribute to the upskilling of all those in Engine regarding regulatory compliance and risk management., • Support in the management of Engine’s NA Client Audits and where appropriate the Engine response to information and data requests from Regulator(s) and Clients as necessary. Behaviours & Competencies: • Able to build strong relationships with key stakeholders (both internal and external), and engage constructively at all levels to achieve positive outcomes., • Experience of Payment Services Regulations compliance (in US and Canada), • Proven ability to deliver and manage regulatory compliance requirements, escalating as necessary and tracking actions to resolution., • Delivering regulatory reporting and notifications in a timely manner and with appropriate internal challenge., • Able to demonstrate having collaborated effectively on key matters, for example engaging with key internal and external stakeholders to deliver regulatory change/compliance., • Ability to be self motivated / self-starter in a highly autonomous environment, • Ability to work confidently and effectively in a collaborative team with a flat structure and in a variety of contexts and situations., • Ability to challenge in a positive manner and deliver pragmatic decisions in a commercial context, • Risk Management, Compliance or Operational Payment Services experience in North America, emphasis on U.S., • Experience of working in a banking, e-money, payment services or financial services environment in US, • Track record of delivery by taking ownership and driving tasks to completion., • Operational risk experience including any of the following; transaction banking, savings, ending and cards, International & Domestic Payments, • Confident communicator at all levels with the ability to convey complex in a simplified manner to individuals across all levels., • Strong presentation and facilitation skills, • Strong interpersonal skills experienced in engaging with internal and external stakeholders., • Strong attention to detail. Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: • Interview with someone from the Engine BD team and Engine Compliance team, • Interview with Engine Legal Team Comprehensive benefit package. You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Partner with platform and engineering teams by providing a clear product vision, well-defined product roadmap and initiatives; define and prioritize product features. Experience in product development and product management, including concept definition / validation, and business requirements defini

Job DescriptionQuality Control Analytical Associate IIAllendale, NJ Lynkx Staffing LLC specializes in placing talented professionals in the Biotechnology, Pharmaceutical and Medical Device, IT & Human Resources disciplines in New Jersey. The Quality Control Analytical Associate II serves as a support role to clinical and commercial production. The QC Analytical Associate II will assist with process check point, stability, and release analytical testing to ensure that quality standards are upheld for all products produced at the facility. Under the direction of the Manager, QC Analytical Associate II, responsibilities include: • Performs the accurate execution of all company and/or client test methods and procedures of cellular products to ensure the safety and/or efficacy of different cell populations, • Performs maintenance, monitoring, and troubleshooting of pertinent equipment, • Performs and assists in the training of other Quality Control technicians, • Maintains training records and coordinates records retention with Document Control and Training groups, • Tests, documents, and reports results for products or materials following company and/or client procedures following CGMP and/or GTP guidelines, • Performs state proficiency testing and/or client proficiency testing under direct supervision as applicable, • Participates in managing QC materials and supplies, • Performs and assists in equipment and method qualification/validation activities as needed, • Performs reagent and media preparation, • Provides input based on level of knowledge and experience with troubleshooting malfunctioning equipment, • Investigates out-of-specification, out-of-trend, aberrant, and/or non-conforming test results, • Initiates, investigates, and prepares deviation reports with input from assigned supervisor, • Brainstorms and implements corrective and preventive actions, as and when applicable, • Documents training and execution of shipping test samples to contract laboratories for testing, • Completes all documentation according to written Standard Operating Procedures in accordance to Current Good Manufacturing Practices (cGMP) and Good Documentation Practices (GDP), • Communicates effectively with other co-workers, departments, management and clients, • Eventually serves as a lead and/or co-lead for client projects, • Additional tasks as assignedREQUIREMENTS, • BA/BS in a science or relevant field required, • Prior cGMP experience required, • Prior QC laboratory, clinical laboratory, microbiology, hematology, blood banking, or immunology experience in a CGMP/GTP environment preferred, • Prior industrial experience in cell count methodologies preferred, • Prior academic and/or industrial cell therapeutic experience preferred, • Minimum 2-5 years of experience in Quality Control laboratory setting or within the biopharmaceutical industry, • Proficient with computer software such as: Microsoft Office, Visio, • Strong written and oral communication skills, • Strong presentational skills preferred, • Candidate must be detail oriented, can multi-task, work in a team environment, and have the flexibility to adapt to company growth as well as its evolving responsibilities.Other Information, • While performing the duties of this job, the employee may occasionally be exposed to infectious diseases transmittable through human blood, tissues, or bodily fluids and are expected to utilize universal precautions with all human specimens., • Other exposures may include gases (nitrogen), or corrosive chemicals (Clorox, potassium hydroxide), or exposure to liquid nitrogen. The noise level in the work environment is moderately noisy. Must have the ability to work in a team-oriented environment and with clients, • Must be able to work during the weekend, holidays, and as required by the company, • Must be able to handle the standard/moderate noise of the manufacturing facility, • The QC Analytical Associate II must be able to work in a laboratory environment for an extended period., • Must be physically capable to stand; walk; sit; bend; stretch; use hands to finger, handle or feel; reach with hands and arms; and talk or hearPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. QC Analytical Associate I is available as well.

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”).

Our client is a well-established global brand with a focus on delivering quality personal care products to the consumer. Some brands are B2B, while others are B2C. This company has received awards for their responsible business practices and greatly values the way they treat their employees. Currently, they are looking to add a Senior Regulatory Affairs Specialist to their team. Salary/Hourly Rate: $100k - $115k Position Overview: The Senior Regulatory Affairs Specialist will be responsible for leading the day-to-day functions of the Compliance team. This includes overseeing product filings, managing obligations related to extended producer responsibility, and driving strategic initiatives for the US, European, and Canadian markets. The Senior Regulatory Affairs Specialist will ensure alignment and regulatory reporting mandates. Additionally, the Senior Regulatory Affairs Specialist will be accountable for monitoring regulatory developments, investigating product-related incidents, and ensuring the timely implementation of compliance updates. The Senior Regulatory Affairs Specialist will have one direct report. Responsibilities of the Senior Regulatory Affairs Specialist: • Lead daily operations within the regulatory compliance function, including team oversight., • Maintain and ensure accuracy of the regulatory data management system., • Drive execution of global compliance initiatives (e.g., REACH, regulatory surveys)., • Manage product registration and notification processes across markets., • Conduct and oversee investigations into adverse product reactions., • Provide regulatory guidance to internal and external stakeholders, including:, • Claims validation., • Ingredient and formula assessments., • Packaging and labeling compliance reviews. Required Experience/Skills for the Senior Regulatory Affairs Specialist:, • 4 - 5+ years of regulatory affairs experience in the personal care industry. Related experience in personal care with slightly less regulatory experience can be considered., • Experience in a leadership or very hands-on mentorship capacity., • Strong understanding and application of international cosmetic regulations (USA, EU, UK, Canada, Asia)., • In-depth knowledge of drug regulatory frameworks in the USA and Canada., • The ability to work in the NYC office up to 3 days a week. Preferred Experience/Skills for the Senior Regulatory Affairs Specialist:, • Experience managing at least 1 direct report., • Experience working with a luxury or high-end brand, or experience working with contract manufacturers. Education Requirements:, • Bachelor's degree in Chemistry, Chemical Engineering, or a related scientific field is required., • Master's degree is preferred. Benefits:, • 401(K) with an impressive matching that has no vesting period., • 35+ days off annually., • Medical, dental, and vision plans take effect on the first day of employment., • A full package of competitive benefits., • 10% annual bonus. By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy . As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation. EOE/M/F/D/V/SO Position ID: 157887

Software Engineer in New York, NY.Develop full-stack software and design systems using LLMs to create AI-powered agents.Develop generative AI models with RAG and prompt engineering.Fix bugs, perform code reviews, develop software system testing and validation procedures.Bachelor’s degree in Comput

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.

Vice President, Financial Model Audit – Model Risk \n \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We’re seeking a future team member for the role of Vice President, Financial Model Auditor to join our Internal Audit team. This role is located in New York City \n In this role, you’ll make an impact in the following ways: \n\n • Performing high quality, risk-focused audit testing, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures related to model risk in Finance’s Corporate Treasury functions, and Risk Management areas focusing on the Enterprise-wide management of Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, and Artificial Intelligence / Machine Learning. \n, • Tests model development and model validation processes as per the Supervisory Guidance on Model Risk Management and the Bank’s Model Risk Management policies, standards, and procedures. \n, • Operates as a team member or independently and has responsibility for specific procedures and results (i.e., head of a project relating to an audit, audit project, or model auditor). Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate to allow an evaluation of the adherence to company policies and procedures, audit methodologies, and all applicable regulations. Identifies existing and emerging risk/ control themes. \n, • Prepare draft audit reports and follow-up of audit actions to ensure corrective actions have been appropriately implemented.\n, • Learns new businesses, processes and regulations. \n, • Work with other audit team members to mentor, guide and collaborate.\n, • Work on projects of great complexity that involves significant understanding of the regulatory requirements, business models and processes for each assignment.\n, • Maintain up to date knowledge of industry best practice and regulatory requirements.\n, • Carry out other ad-hoc tasks and projects as directed by audit senior management.\n, • Represent Internal Audit on projects and at management meetings.\n, • Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred).\n, • Strong quantitative and analytical background coupled with strong theoretical foundation and good communication skills preferred. \n, • 3+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning.\n, • The position requires special skills (eg. mathematical, statistical, quantitative, economic, and business knowledge and modeling experience). \n, • Proficient with programming languages used for model development and validation, such as Matlab, R, C++, Python, etc Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving \n\n \n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n \n BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $150,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. \n This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

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”).