Staff AI Engineer role (Remote Eligible)

Discover Financial
San Francisco, Cambridge, San Jose, Richmond, New York
Workplace: RemoteFull timeUSD 293,600 - 335,100 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Mentorship","Leadership"]

Build and deploy AI-powered software components for the Intelligent Foundations and Experiences team, partnering with engineers, research scientists, technical program managers, and product managers. You’ll design, develop, test, and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Work with open source and SaaS AI stacks on cloud infrastructure and develop LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 week ago

Staff AI Engineer role (Remote Eligible)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and deploy AI-powered software components for the Intelligent Foundations and Experiences team, partnering with engineers, research scientists, technical program managers, and product managers. You’ll design, develop, test, and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Work with open source and SaaS AI stacks on cloud infrastructure and develop LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: San Francisco, Cambridge, San Jose, Richmond, New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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, 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 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.

Pay and Benefits

Salary: USD 293,600 - 335,100 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 6 years.
  • •At least 8 years of experience programming with Python, Go, Scala, or Java.
  • •Experience developing and deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Ability to architect, design, develop, integrate, deliver, and support complex AI systems.
  • •Experience developing AI/ML algorithms or technologies such as LLM inference, similarity search, vector databases, guardrails, or memory.
Experience:8+ years
Education:Bachelor's
Skills:CommunicationMentorshipLeadership
Tech Stack:PythonGoScalaJavaC++C#GolangAWSGoogle CloudAzureHuggingfacePyTorchVectorDBsNemo GuardrailsAWS Ultraclusters

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