4 months ago
Base Salary
$200k - $550k/yr
Responsibilities
- Build and scale large distributed data pipelines for pre-training.
- Design filtering, mixture, and dataset versioning systems.
- Develop post-training datasets, evaluation frameworks, and reward pipelines.
- Run ablations that translate capability goals into measurable improvements.
- Build end-to-end product surfaces that integrate deeply with the model.
- Design APIs, backend services, and frontend workflows for AI-first experiences.
- Improve reliability, observability, and performance of production systems.
Requirements
- Strong software engineering fundamentals.
- High ownership and comfort operating in ambiguous problem spaces.
- Experience building production systems at scale.
- Ability to reason clearly about trade-offs between quality, performance, and cost.
- Strong technical judgment and bias toward shipping.
- Track record of turning complex technical problems into working systems.
Benefits
- Annual salary range: $200K - $550K.
- Equity is a significant part of total compensation, in addition to salary.
- 401(k) plan with 6% salary matching.
- Generous health, dental and vision insurance for you and your dependents.
- Unlimited paid time off.
- Visa sponsorship and relocation stipend to bring you to SF, if possible.