Responsibilities
- Develop and deploy machine learning models and components to address real business needs in coordination with Product and Data Science teams.
- Make informed infrastructure decisions by applying knowledge of modeling techniques, including model selection, data and feature engineering, training, tuning, and validation strategies.
- Address complex technical challenges through coding, model development, testing, and deployment automation.
- Work within a cross-functional Agile team to build and improve software supporting advanced big data and machine learning systems.
- Retrain, monitor, and maintain machine learning models in production environments.
- Design and implement cloud-based architectures to scale machine learning solutions efficiently.
- Build high-performance data pipelines to support model training and inference workflows.
- Apply continuous integration and deployment practices, including automated testing and monitoring, to ensure reliable model releases.
- Ensure code quality, model risk governance, and adherence to principles of Responsible and Explainable AI.
- Utilize programming languages such as Python, Scala, or Java for development tasks.
Compensation
Performance-based incentives, including potential cash bonuses and long-term incentives, which may be discretionary or non-discretionary.
Work Arrangement
Remote (City/Region)
Team
Agile team
Other
- Employer does not sponsor new applicants for employment authorization or provide immigration support for visas such as H1B, F-1 OPT, STEM OPT, CPT, J-1, TN, E-2, E-3, L-1, O-1, or related work permits.
- Position qualifies for performance-based compensation, which may include cash bonuses and long-term incentives, either discretionary or fixed.
- Comprehensive benefits package offered, covering health, financial, and wellness areas, with eligibility based on employment status and level.
- Applications will be accepted for at least five business days.
- External recruitment agencies are not accepted for this role.
- Employer is an equal opportunity employer, including disability and veteran status, and complies with anti-discrimination laws.
- Maintains a drug-free workplace policy.
- Considers applicants with criminal histories in accordance with applicable laws, including New York Correction Law Article 23-A, San Francisco Police Code, NYC Fair Chance Act, Philadelphia Fair Criminal Records Screening Act, and others.
- Accommodations for applicants with disabilities are available upon request through the recruiting team.
- Technical questions about the hiring process can be directed to the careers email.
- No liability is assumed for third-party content accessible through the company website.
- Positions posted in Canada are with Capital One Canada; roles in the UK are with Capital One Europe; roles in the Philippines are with Capital One Philippines Service Corp (COPSSC).
No immigration sponsorship or employer support for work authorization is available for this position.
