Senior Machine Learning Software Engineer (mlops)

Calicolabs

South San Francisco, CA, United States
Base: $209,000 - $233,000; bonus: two annual cash ...
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5+ years industry or academia experience
Deep expertise in python and jax or pytorch
Hands-on mlops practices with ray kubernetes mlflow
** Calico Labs is seeking a Senior Machine Learning Software Engineer (MLOps) to enhance their machine learning infrastructure and support drug discovery initiatives. The role requires expertise in building and deploying scalable ML systems, with a strong emphasis on MLOps practices, and will involve close collaboration with researchers. Candidates should have significant industry experience, strong software engineering skills, and a willingness to work onsite. **

Job Summary

  • Calico seeks a Senior Machine Learning Software Engineer to own the scaling, reliability, and deployment of machine learning workloads for drug discovery.
  • The role involves architecting computational engines and serving infrastructure to bridge frontier research with production-grade engineering.
  • Candidates must possess strong software engineering skills in Python and deep frameworks like JAX or PyTorch alongside MLOps expertise.

Matching Summary

Match Score: 75

** Calico Labs is seeking a Senior Machine Learning Software Engineer (MLOps) to enhance their machine learning infrastructure and support drug discovery initiatives. The role requires expertise in building and deploying scalable ML systems, with a strong emphasis on MLOps practices, and will involve close collaboration with researchers. Candidates should have significant industry experience, strong software engineering skills, and a willingness to work onsite. **

Salary

Base: $209,000 - $233,000; Bonus: Two annual cash bonuses eligible; Benefits: Not specified

Skills & Requirements

Must-have

  • 5+ years industry or academia experience
  • Deep expertise in Python and JAX or PyTorch
  • Hands-on MLOps practices with Ray Kubernetes MLflow
  • Willingness to work onsite four days a week

Nice-to-have

  • Experience troubleshooting distributed training bottlenecks
  • Prior productionizing ML models for biological data
  • Contributions to open-source projects or academic publications

Key Requirements

  • 5+ years relevant work experience
  • Strong software engineering skills
  • Onsite work requirement

Work Rights

Not specified

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