Lead Machine Learning Engineer

Discover Financial
Cambridge, Richmond
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Problem-solving","Adaptability","Thought leadership"]

Lead applied machine learning engineering for Risk Tech, partnering with engineers, data scientists, product managers, and designers to deliver AI-powered products. Design, develop, test, deploy, and support ML software components including LLM inference, similarity search, guardrails, governance, observability, and agentic AI. Fine-tune and evaluate foundation models, construct data pipelines, and retrain/monitor models in production while advancing responsible and explainable AI practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead applied machine learning engineering for Risk Tech, partnering with engineers, data scientists, product managers, and designers to deliver AI-powered products. Design, develop, test, deploy, and support ML software components including LLM inference, similarity search, guardrails, governance, observability, and agentic AI. Fine-tune and evaluate foundation models, construct data pipelines, and retrain/monitor models in production while advancing responsible and explainable AI practices.
Location: Cambridge, Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products for associates and customers.
  • •Design, develop, test, deploy, and support AI/ML software components including model evaluation, LLM inference, similarity search, guardrails, governance, observability, and agentic AI.
  • •Fine-tune, develop, and evaluate machine learning and foundation models.
  • •Construct optimized data pipelines and retrain, maintain, and monitor models in production.
  • •Apply responsible and explainable AI practices and ensure code quality and risk governance.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s degree.
  • •At least 6 years designing and building data-intensive solutions using distributed computing.
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 2 years building, scaling, and optimizing ML systems.
  • •Experience building production-ready data pipelines that feed ML models.
Experience:AI services
Education:Bachelor's
Skills:CommunicationCross-functional collaborationProblem-solvingAdaptabilityThought leadership
Tech Stack:PythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowRetrieval Augmented Generation (RAG)AWS BedrockGoogle CloudAzureOpen SourceSaaS

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn