2 months ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Design, implement, and iterate on models across the voice stack from audio and speech to language.
- Build training pipelines, evaluation frameworks, and tooling for rapid experimentation.
- Translate research results into production-grade systems with the engineering team.
- Formulate hypotheses and take ownership of the problems you work on.
Requirements
- Hands-on experience in ML research or research engineering, either in industry or academia.
- Proficiency in Python and PyTorch (or JAX) for implementing models from research papers.
- Experience running end-to-end ML experiments including data processing, training, and evaluation.
- Comfort in fast-moving, ambiguous environments and defining problems as part of the job.
- Ability to clearly communicate experimental results and insights.
Benefits
- Top-tier compensation with salary and equity that reflect your skillset.
- Free breakfast, lunch, and dinner provided in the office.
- Comprehensive health, dental, and vision insurance.
- Regular off-sites and team celebrations.
- 401(k) plan to help you plan for the future.