Added
14 days ago
Type
Full time
Salary
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Related skills

docker aws python kubernetes gcp

πŸ“‹ Description

  • Build and deploy ML/AI systems for large legal data.
  • Bridge research to production software and scope features.
  • Design ML infra; champion MLOps for repeatable lifecycles.
  • Mentor engineers; raise technical bar; lead by example.
  • Collaborate with data scientists, security, product, design.
  • Onsite in Oakland; 3 days/week; full-time exempt.

🎯 Requirements

  • 8+ years software engineering with 4+ years ML in production SaaS.
  • Strong ML fundamentals: math, optimization, and evaluation.
  • Pragmatic approach; know when simple models fit product goals.
  • MLOps: Kubernetes, Docker, Weights & Biases, MLFlow; AWS/GCP/Azure.
  • Python plus Go or Java; PyTorch, TensorFlow, or JAX.
  • Collaborative, effective communication; stay current with ML/AI.

🎁 Benefits

  • Equity program
  • 401(k) with company matching
  • Health, dental, and vision
  • Flexible Spending Accounts for health and dependent care
  • Seventeen paid vacation days plus 11 federal holidays
  • Modern Health membership
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