about 4 hours ago
Responsibilities
- Architect and scale ML algorithms from scientific papers into robust scientific code.
- Lead the ideation, benchmarking, and execution of complex datasets and ML models.
- Implement software and hardware optimizations for ML pipelines on distributed cloud GPUs.
- Drive software through the entire product lifecycle, ensuring technical excellence.
Requirements
- MSc (PhD preferred) in Computer Science, Physics, Chemistry, or a related quantitative field.
- 5+ years of industry experience developing productionized software.
- Proven experience with large-scale ML pipelines on distributed cloud GPUs.
- Familiarity with agentic coding tools like Claude code and Codex.
- Experience supporting models in external-facing products.
Benefits
- Competitive base salary and performance-based incentives.
- Comprehensive medical, dental, and vision coverage with employer contributions.
- Retirement savings with company matching and paid parental leave.
- Flexible paid time off and support for flexible work arrangements.
- Opportunities for continuous learning and growth.