Sesame
Research Engineer
San Francisco · Contract
Sponsorship not specifiedDetected 35 days ago
Machine LearningResearch
About the role
- Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software.
- Join us in shaping a future where computers truly come alive.
- Sesame is committed to a workplace where everyone feels valued, respected, and empowered.
Responsibilities
- Own evaluation pipelines - design, build, and automate offline and live evals that keep our speech and multimodal models honest in production.
- Harness the data - create tooling for safe, versioned, privacy-aware dataset curation and discovery.
- Ship models, not slide decks - partner with research and infra to prototype, train, and deploy state-of-the-art voice models that power Sesame's real-time companion https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice?utm_source=chatgpt.com experience.
- Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human.
Requirements
- Proven software engineer who loves ML
- Deep knowledge of the ML lifecycle: dataset ops, training pipelines, eval frameworks, deployment, and monitoring.
- Track record of setting technical direction, driving consensus, and partnering smoothly with product, infra, and research.
Compensation
- 401 (k) max employer match: 3.5% of compensation
Benefits
- 100% employer-paid health, vision, and dental benefits for you and your dependents
- Unlimited PTO and sick time
- Flexible spending account with employer matching up to $1,650/year (medical FSA)
- Opportunity to share in the company's success with competitive stock options
- Benefits do not apply to contingent/contract workers.
- With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives.
- leave a clean trail of tests and dashboards behind.
This listing is sourced directly from Sesame's careers page and normalized into a canonical job model.