Member of Technical Staff - Post-Training Research

Responsibilities

• ▹Own end-to-end post-training research bets: async and agentic RL, on-policy distillation, long-context RL, small routing models
• ▹Work directly with customers alongside Forward Deployed Engineers to train models
• ▹Carry and expand collaborations with outside research labs
• ▹Work with engineering to turn frontier post-training techniques into products (distributed training, online training for deployed models)
• ▹Help shape the research agenda

Requirements

• ▹A research-leaning background in post-training LLMs, with demonstrable work
• ▹Product sense to tell which frontier techniques matter to users
• ▹A record of shipping research that other people build on
• ▹Drive to take a research bet from idea to result independently
• ▹Ability to work in-person in the NYC or San Francisco office

Soft skills

About the company

Modal is building a new AI infrastructure layer covering the whole life of an LLM: training, deployment, and observability. Customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They recently raised a $355M Series C at a $4.65B valuation and crossed $300M+ ARR.