Member of Technical Staff, Applied Researcher
True Talent Solutions Partners · New York · onsite
USD 300,000 to 500,000 per year
ABOUT THE ROLE
Join a small applied research team working with frontier AI labs on challenging post-training problems. This research-first role focuses on reinforcement learning, training data, and experiments that help improve model capabilities.
WHAT YOU'LL DO
- Work with research teams to translate open-ended goals into concrete 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-fidelity 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 post-training signals and experiment results across distributed GPU clusters to guide subsequent research.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience as an applied researcher or research scientist, with hands-on model training experience.
- Practical reinforcement learning and agent experience beyond standard machine learning engineering work.
- Research experience at a frontier AI lab, AI research startup, or AI data lab, or evidence of impactful research through a publication or a model performing well on a notable benchmark.
- Strong knowledge of reinforcement learning and training data, supported by research or applied work.
- Experience with Python, PyTorch, FSDP, FastAPI, GRPO, and distributed GPU clusters.
- A PhD involving reinforcement learning research or experience at a frontier AI lab is relevant background.
COMPENSATION & BENEFITS
Base salary range is $300,000 to $500,000 annually. Visa sponsorship is available.
LOCATION
Hybrid in New York, New York, with an additional location in Seattle, Washington.