2 months ago
Base Salary
$150k - $250k/yr
Responsibilities
- Work with research engineers to develop productionized machine learning workflows.
- Develop infrastructure for training, validating, and deploying neural networks.
- Deploy cloud infrastructure and build distributed data-processing pipelines.
- Develop a multi-tenant data lake ecosystem supporting the machine learning lifecycle.
- Build internal APIs to serve data, trigger workflows, and enforce business logic.
- Build CI/CD processes and internal tools that improve developer productivity.
Requirements
- Demonstrated strong programming experience through work experience, internships, or programming competitions.
- Strong proficiency in Python, Docker, Kubernetes, Terraform, ArgoCD, and major cloud platforms including AWS or GCP.
- Deep knowledge of DevOps and infrastructure processes, including infrastructure as code, microservice deployment, software networking, and build tool management.
- Previous experience in a data-heavy role such as data infrastructure or machine learning engineering.
- Experience using agentic workflows for programming and problem solving.
- Experience with CUDA, TensorFlow, gRPC, Bazel, or OCI is preferred.
Benefits
- Competitive health insurance options.
- 401K plan management.
- Remote-friendly and flexible team culture.
- Free lunch and a fully stocked kitchen at the South Bay office.
- Monthly wellness stipend, office setup allowance, company retreats, and additional perks.
- Base salary range of approximately $150,000 to $250,000, with possible equity or bonus compensation.
Tech Stack
Categories
