Lead AI Engineer (MLX Emerging AI Patterns)

Discover Financial
San Jose, New York
Workplace: OnsiteFull timeUSD 179,400 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Technical ownership","Problem solving","Staying current","Communication"]

Build and deploy AI software components for emerging AI capabilities, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers. Use open source and SaaS AI technologies (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead AI Engineer (MLX Emerging AI Patterns)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and deploy AI software components for emerging AI capabilities, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers. Use open source and SaaS AI technologies (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: San Jose, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that improve how associates work and how customers interact with Capital One.
  • •Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput in production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

Pay and Benefits

Salary: USD 179,400 - 245,600 annually
Perks:Health Insurance

Key Requirements

  • •Bachelor’s degree in Computer Science/AI/Electrical Engineering/Computer Engineering (or related) plus 4+ years developing AI/ML algorithms or technologies; or a Master’s degree plus 2+ years developing AI/ML algorithms or technologies.
  • •4+ years programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
  • •Experience designing, developing, delivering, and supporting AI services.
  • •Experience developing AI/ML technologies (e.g., LLM inference, similarity search/VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience:4+ yearsAIMachine learning
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:Cross-functional collaborationTechnical ownershipProblem solvingStaying currentCommunication
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM inferenceSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservability

Eligibility

Work Authorization:Sponsorship available.

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