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docker aws python kubernetes gcpπ 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.
π― 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.
π 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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