Discover Financial

1 week ago

Lead AI Engineer (MLX Emerging AI Patterns)

✓ 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 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

Website LinkedIn

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Discover Financial

1 week ago

Lead AI Engineer (MLX Emerging AI Patterns)

✓ 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

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

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

Website LinkedIn