San Francisco, CARemote$140,000 - $210,0003 weeks ago
full-timemid
About the Role
Weights & Biases is hiring an MLOps Engineer to help build the future of ML experiment tracking and model management. You will work on our core platform, improving the developer experience for ML practitioners worldwide.
You will build robust data pipelines, optimize our tracking infrastructure, and develop new features that help teams collaborate more effectively on ML projects. You will work closely with some of the most innovative ML teams in the world.
This role is ideal for someone who loves building developer tools and has a strong understanding of the ML workflow.
Requirements
- 3+ years of software engineering experience
- Experience with ML workflows and tooling
- Strong Python skills
- Experience with cloud infrastructure (AWS, GCP)
- Familiarity with containerization (Docker, Kubernetes)
- Understanding of CI/CD for ML systems
Required Skills
PythonKubernetesDockerMLOpsAWSGCP
About Weights & Biases
MLOps platform for experiment tracking, model versioning, and collaboration.