Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) - job post
$250,800 – $286,200 USD
Tech Stack
PythonScalaJavaDistributed ComputingMachine Learning SystemsLlm InferenceSimilarity SearchAgentic AIData PipelinesCI/CDTest AutomationResponsible AIExplainable AIOpen SourceRetrieval Augmented GenerationAWSGoogle CloudAzure
Solid badges = required, outlined = preferred
Responsibilities
- Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products.
- Design, build, and deliver AI-powered products and components, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI.
- Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products.
- Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Soft Skills
AgileCross-Functional Collaboration
Benefits
- 401k
- Dental
- Health Insurance
- Vision
Culture
Agile/ScrumCross-Functional TeamsMentorship Program
Requirements
Required: Bachelor's Degree
Preferred: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field
Regions: Us
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About Capital One
Industry: fintech
Size: enterprise
Capital One is a financial services company seeking to transform its technology space by building innovative solutions and meeting customer needs, particularly in their travel product offerings.
View company profile →Compensation
Base salary: $250,800 – $286,200 USD
Bonus: performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
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