Sesame
Research Engineer
$190K–$320K
San Francisco +2 · On-site · Full-time · Posted Jun 17, 2026
- Location
- San Francisco
New York
Bellevue
About the job
Develop and productionize novel ML architectures and models, scaling LLM training and inference and building training, evaluation, and dataset tools.
What you'll do
- Design, build, and ship novel architectures and models to production; scale LLM training and inference for latency, throughput, and cost.
- Build training and evaluation pipelines and metrics that reflect user experience.
- Develop safe, versioned, privacy-aware tools for dataset curation and discovery.
What they ask for
- Strong hands-on experience with PyTorch.
- Production software engineering experience across the stack and practical experience training or fine-tuning LLMs, with understanding of LLM training algorithms.
- Experience designing evaluation metrics and harnesses and familiarity with the ML lifecycle, including dataset operations, deployment, and monitoring.
- Experience shipping complex projects to production and contributing to technical direction and cross-functional collaboration.
Pay
$190K – $320K (base salary)
Tools
PyTorch
AI focus
Research and develop ML architectures and models; train, fine-tune, evaluate, and scale LLMs for production voice-agent applications.
Model-written summary · the original posting is authoritative