CO
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
About the role
- Take ideas from hypothesis to production: prototype → MVP → scale with clear metrics
- Design and run robust offline testing and live A/B experiments to prove impact
- Work with product managers, engineers and designers to frame problems and choose methods
- Build scalable, maintainable AI features (transformers, recommenders, time series, RAG)
- Champion Responsible AI and ensure security, privacy and compliance in solutions
- Mentor teammates and uplift the team through knowledge sharing
- Collaborate on data engineering aspects: data contracts, observability, vector stores and streaming
Requirements
- Consistent record of shipping customer-facing ML/AI and LLM features end-to-end
- Hands-on with NLP, RAG, time series, recommenders, anomaly detection and deep learning/transformers
- Strong Python skills, with production experience in ML frameworks and LLM tooling (HF Transformers, LangChain/LangGraph)
- Cloud-ready, with experience across AWS services including Bedrock, S3, SageMaker, ECS and Lambda
- Experimentation-first approach: offline metrics, A/B tests, calibration/drift, human-in-the-loop, and telemetry tied to real outcomes
- Solid data engineering foundation: SQL, NoSQL/vector stores, streaming, data quality/governance, and collaborating on data contracts/observability
- Strong grounding in security, privacy and compliance, with a passion for Responsible AI principles
- Experience mentoring and knowledge sharing and collaborating with cross-functional teams
Benefits
- Enjoy a flexible, hybrid workplace that brings balance to how you work, all of our centrally located offices come together for a number of in-person celebrations and social events
- Set up your home office with a little financial help from us, and take advantage of great corporate discounts and vouchers from top retailers
- Benefit from our partnership with Sonder, which supports the wellbeing of our team members
- Unlock your potential via in-house training and programs, LinkedIn Learning, conferences and study assistance
- Access to a variety of leave options available to support your wellbeing, including up to an additional four weeks of purchased leave, generous parental leave, domestic violence leave, transgender leave, community leave, study leave, and more
- Join our communities, built around ‘Wellness’, ‘Belonging’ and the ‘Planet’ where you can make a meaningful contribution
- At MYOB, we’re an equal opportunity employer and encourage diverse applicants
- We’re a Circle Back Initiative Employer and commit to responding to every applicant
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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