Responsibilities
- Develop and implement machine learning models and components to address practical business needs in coordination with Product and Data Science teams.
- Make informed infrastructure decisions by applying knowledge of modeling methods, including model selection, data and feature engineering, training processes, hyperparameter optimization, bias-variance tradeoffs, and validation strategies.
- Address complex technical challenges through coding, model development and validation, and automation of testing and deployment workflows.
- Work within a cross-functional Agile team to build and improve software systems supporting advanced big data and machine learning applications.
- Retrain, sustain, and monitor live machine learning models to ensure ongoing accuracy and performance.
- Design and use cloud-native systems and platforms to deploy scalable and efficient machine learning solutions.
- Build high-performance data pipelines that supply accurate and timely data to machine learning models.
- Apply continuous integration and continuous deployment standards, including automated testing and monitoring, to ensure reliable model and code releases.
- Maintain secure code practices, enforce model governance for risk control, and adhere to principles of Responsible and Explainable AI.
- Utilize programming languages such as Python, Scala, or Java for software and model development.
Compensation
Performance-based incentives including cash bonuses and/or long-term incentives, which may be discretionary or non-discretionary.
Work Arrangement
Remote (City/Region)
Team
Agile team
Other
- Employer sponsorship for work authorization is not offered for this role, including H1B, F-1 OPT, STEM OPT, CPT, J-1, TN, E-2, E-3, L-1, O-1, or any EADs requiring employer support.
- The position qualifies for performance-based incentive compensation, potentially including cash bonuses and long-term incentives, depending on the plan’s terms.
- A comprehensive benefits package is provided, covering health, financial, and personal well-being, aligned with industry standards.
- Benefit eligibility depends on employment classification, including full-time or part-time status, exempt or non-exempt status, and management level.
- Applications will be accepted for at least five business days from the posting date.
- External recruitment agencies are not permitted for this role.
- The company is an equal opportunity employer, including disability and veteran status, and complies with all applicable anti-discrimination laws.
- The workplace supports a drug-free environment.
- Candidates with criminal histories will be considered in accordance with applicable laws, including New York Correction Law Article 23-A, San Francisco Police Code, New York City’s Fair Chance Act, Philadelphia’s Fair Criminal Records Screening Act, and other relevant regulations.
- Applicants needing accommodations during the job search or application process can contact Recruiting Accommodation at 1-800-304-9102 or RecruitingAccommodation@capitalone.com; all information remains confidential.
- Technical questions about the recruiting process can be directed to Careers@capitalone.com.
- Third-party products, services, or educational tools accessed through the site are not endorsed, guaranteed, or provided by the company, and the company assumes no liability for them.
- Positions posted in Canada are with Capital One Canada; those in the UK are with Capital One Europe; and roles in the Philippines are with Capital One Philippines Service Corp. (COPSSC).
Not available for this position.
