Senior Software Engineer

Qualifications

• Strong programming experience through work experience, internships, or competitions.
• Deep knowledge of dev-ops and infrastructure processes like infra-as-code and microservice deployment.
• Previous experience in data-heavy roles, such as data infrastructure or machine learning engineering.
• Experience with agentic workflows for programming and problem-solving.

Responsibilities

• Collaborate with research engineers to create production-ready ML workflows.
• Develop and improve platform infrastructure for ML training, validation, and deployment.
• Deploy cloud infrastructure and construct distributed data-processing pipelines.
• Develop an internal multi-tenant data lake ecosystem for ML operations.
• Build internal APIs to manage data, trigger workflows, and enforce business logic.
• Create CI/CD processes and other tools to boost developer productivity.

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 set-up allowance, and company retreats.
• Opportunity to tackle impactful and interesting problems.