Member of Technical Staff, Applied Researcher
True Talent Solutions Partners · New York · onsite
ABOUT THE ROLE
Join an applied research team working with advanced AI research organizations on challenging post-training problems. This research-first role focuses on reinforcement learning, training data, and experiments that improve model capabilities.
WHAT YOU'LL DO
- Work with research teams to translate open-ended goals into environments, datasets, experiments, and deliverables.
- Design and run post-training workflows, including reinforcement learning methods such as GRPO, preference optimization, and supervised fine-tuning.
- Shape and inspect high-quality trajectories and training data, with attention to correctness, edge cases, and quality.
- Build reward functions, rubrics, validators, and evaluation harnesses that resist reward hacking and measure capability gains.
- Analyze training signals and experiment results across distributed GPU clusters to guide follow-up experiments.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience as an applied researcher or research scientist.
- Hands-on model training experience in an AI research lab, AI data organization, or comparable setting, or a strong research or model release record on a recognized benchmark.
- Practical reinforcement learning and agent experience beyond typical machine learning engineering work.
- Experience with Python, PyTorch, FSDP, FastAPI, GRPO, and distributed GPU clusters.
- Experience at an advanced AI research organization or a PhD involving reinforcement learning research is relevant.
COMPENSATION & BENEFITS
Base salary: $300,000 to $500,000 annually. Visa sponsorship is available.
LOCATION
Hybrid, based in New York, New York. Seattle is also listed as a location.