15 days ago
San Francisco, CA, USA or San Mateo, CA, USAMid Level
Base Salary
$195k - $350k/yr
Responsibilities
- Design and implement reliable, scalable infrastructure for AI and machine learning applications.
- Create and manage data pipelines for complex machine learning workflows.
- Optimize machine learning system performance and resource utilization at scale.
- Collaborate with machine learning and development teams on infrastructure challenges.
- Build platforms and tools that improve developer productivity.
Requirements
- Bachelor’s or master’s degree in computer science, software engineering, or a related field.
- Proven experience building reliable, scalable infrastructure for AI and machine learning applications.
- Strong understanding of modern cloud infrastructure, reliability, and scalability.
- Experience designing and managing data pipelines for complex machine learning workflows.
- Ability to optimize system performance and manage resources effectively at scale.
- Ability to collaborate with cross-functional teams to solve infrastructure challenges.
Benefits
- Competitive salary and equity.
- 401(k) program with employer matching.
- Health, dental, vision, and life insurance.
- Short-term and long-term disability coverage.
- Commuter benefits for in-office employees.
- Autonomous work environment.
- Workplace setup reimbursement.
- Telecommuting stipend.
- Flexible time off and holidays.
- Quarterly team gatherings.
- In-office perks for in-office employees.