Member of Technical Staff, Applied Researcher
True Talent Solutions Partners · New York · onsite
ABOUT THE ROLE
Join a small applied research team working directly with frontier AI research labs on challenging post-training problems. This research-focused role helps translate open-ended research goals into experiments and training data that improve model capabilities.
WHAT YOU'LL DO
- Partner with customer research teams to turn research goals into concrete environments, datasets, experiments, and deliverables.
- Design and run post-training loops using reinforcement learning methods such as GRPO, preference optimization, and supervised fine-tuning.
- Evaluate which training signals improve model performance and shape high-fidelity trajectories and datasets with careful attention to correctness and edge cases.
- Build reward functions, rubrics, validators, and evaluation harnesses that resist reward hacking and measure meaningful 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, emerging AI lab, or AI data lab, or a strong research publication or model result on a notable benchmark.
- Strong understanding of reinforcement learning and training data, with demonstrated research outcomes.
- Experience with Python, PyTorch, FSDP, FastAPI, GRPO, and distributed GPU clusters.
COMPENSATION & BENEFITS
Base salary range: $300,000 to $500,000 annually. Visa sponsorship is available.
LOCATION
Hybrid, primarily based in New York, New York. Seattle is also a listed location.