Member of Technical Staff - Research & Post-training is a AI Research Engineer role (full-time). with Preference Model. in SAN FRANCISCO, US. Compensation shown: $200K–$350K. Imported listing (source: startuphub.ai). Apply on the employer's site (startuphub.ai).
Imported listing (source: startuphub.ai) · Apply on startuphub.ai
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Sourced from startuphub.ai
Preference Model is seeking a Research & Post-training Engineer to build automated ML research engineering systems. The role focuses on developing high-quality Reinforcement Learning (RL) training environments and optimizing post-training pipelines for large language models. You will blend research and engineering to push the boundaries of self-directed learning and model capability.
San Francisco · US · 20+ employees
Preference Model builds reinforcement learning (RL) environments that automate machine learning (ML) research and engineering. The company develops infrastructure software to support RL experimentation and partners with frontier AI labs to advance LLM capabilities.
Thinking Machines Lab
