Staff AI Engineer

Discover Financial
San Francisco, Cambridge, San Jose, New York
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Mentorship","Problem-solving","Resilience","Leadership"]

Build and deploy foundation AI systems on the Intelligent Foundations and Experiences team. Partner with engineers, research scientists, program managers, and product managers to design and productionize AI software components such as LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Leverage AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch while inventing optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
3 days ago

Staff AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and deploy foundation AI systems on the Intelligent Foundations and Experiences team. Partner with engineers, research scientists, program managers, and product managers to design and productionize AI software components such as LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Leverage AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch while inventing optimization techniques to improve scalability, cost, latency, and throughput.
Location: San Francisco, Cambridge, San Jose, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner cross-functionally to deliver AI-powered products that change how associates work and how customers interact.
  • •Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
  • •Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Develop LLM optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.

Key Requirements

  • •Bachelor’s degree in Computer Science, AI, or related fields plus 8+ years developing AI/ML algorithms or technologies, or a Master’s plus 6+ years.
  • •8+ years programming with Python, Go, Scala, or Java.
  • •Experience developing and deploying scalable, responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure or equivalent).
  • •Ability to architect and build complex AI systems end-to-end (design, develop, integrate, deliver, support).
  • •Experience with LLM inference, similarity search/VectorDBs, guardrails, and memory using Python, C++, C#, Java, or Golang.
Experience:6+ yearsAIMachine learningLLMCloud
Education:Bachelor's
Skills:CommunicationMentorshipProblem-solvingResilienceLeadership
Tech Stack:PythonGoScalaJavaC++C#GolangAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorch

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