Senior Lead AI Engineer (MLX Emerging AI Patterns)

Discover Financial
San Jose, New York
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Collaboration","Communication","Problem-solving","Leadership","Adaptability"]

Build and deploy responsible, scalable AI-powered products with the Intelligent Foundations and Experiences (IFX) team. Design and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open source and SaaS AI stacks (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) while inventing LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Senior Lead AI Engineer (MLX Emerging AI Patterns)

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

Job Summary

Build and deploy responsible, scalable AI-powered products with the Intelligent Foundations and Experiences (IFX) team. Design and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open source and SaaS AI stacks (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) while inventing 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
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner cross-functionally with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
  • •Design, develop, test, deploy, and support AI software components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Use open source and SaaS AI technologies (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) to build production systems.
  • •Invent state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
  • •Contribute to the technical vision and long-term roadmap of foundational AI systems.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6+ years developing AI/ML algorithms or technologies, or a Master's degree plus 4+ years developing AI/ML algorithms or technologies.
  • •At least 6 years of experience programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure) (preferred).
  • •Demonstrated ability to design, develop, integrate, deliver, and support complex AI systems (preferred).
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders (preferred).
Experience:6+ yearsAIMLMachine learningLarge language models
Education:
Skills:CollaborationCommunicationProblem-solvingLeadershipAdaptability
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM inferenceSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservabilityFoundation model training

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