Staff Software Engineer - Ai/ml Infra

GEICO

Palo Alto, CA, United States
Base: $90,000.00 - $300,000.00; bonus/equity: not ...
Hybrid
Kubernetes for ml workloads
Llm training and serving infrastructure
Ci/cd for ml model deployment
GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Platform Engineer to build and scale our machine learning infrastructure with a focus on Large Language Models (LLMs) and AI applications

Job Summary

  • GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Platform Engineer to build and scale our machine learning infrastructure with a focus on Large Language Models (LLMs) and AI applications.
  • You will be responsible for designing, implementing, and maintaining scalable, reliable systems that enable our data science and engineering teams to deploy and operate LLMs efficiently at scale.
  • We offer a rewarding career where your ambitions are met with endless possibilities, with a comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.

Matching Summary

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Platform Engineer to build and scale our machine learning infrastructure with a focus on Large Language Models (LLMs) and AI applications.

Salary

Base: $90,000.00 - $300,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive Total Rewards program, 401K savings plan with 6% match, tuition assistance, mental healthcare, fertility and adoption assistance

Skills & Requirements

Must-have

  • Kubernetes for ML workloads
  • LLM training and serving infrastructure
  • CI/CD for ML model deployment
  • Terraform and Azure DevOps
  • Python and Go/Rust/Java
  • Feature store implementation
  • LLM inference optimization

Nice-to-have

  • Mentoring junior engineers
  • Cross-functional collaboration
  • Technical documentation and training
  • AI safety principles
  • Hybrid cloud solutions

Key Requirements

  • 8+ years software engineering experience
  • 3+ years ML infrastructure experience
  • 2+ years LLM experience
  • Bachelor's degree or equivalent experience
  • Must have excellent verbal and written communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter