Research Engineer

The role

You will design, build, and ship novel architectures and models to production. You will scale LLM training and inference while building training and evaluation pipelines.

What you will do

• Design, build, and ship novel architectures and models to production.
• Scale LLM training and inference, improving latency, throughput, and cost.
• Build robust training and evaluation pipelines.
• Develop tooling for safe, versioned, privacy-aware dataset curation and discovery.

Required qualifications

• Strong, hands-on experience with PyTorch.
• Solid software engineering skills and a genuine interest in ML, with experience writing production code across the stack.
• Practical experience training or fine-tuning LLMs, and a good understanding of how LLM training algorithms work.
• Experience designing evaluation metrics and harnesses that reflect real user experience.
• Familiarity with the ML lifecycle: dataset operations, training pipelines, evaluation frameworks, deployment, and monitoring.
• Experience shipping complex projects to production, ideally user-facing or online ML systems, and adapting as requirements change.
• Good judgment about when to work independently and when to bring in teammates.
• Experience contributing to technical direction, building consensus, and working well with product, infrastructure, and research partners.

Benefits

• 401 (k) max employer match: 3.5% of compensation
• 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)
• Guardian Employee Assistance Program (EAP)
• Opportunity to share in the company's success with competitive stock options

About the company

Sesame is designing a new kind of computer focused on making voice agents part of daily lives. The team includes founders from Oculus and Ubiquity6, alongside leaders from Meta, Google, and Apple.