Abundant
Member of Technical Staff, Research
$250K–$450K
San Francisco · On-site · Staff · Full-time · Posted Jul 7, 2026
About the job
Own and execute research that advances model reasoning at scale, from designing tasks, data, and reward signals through live training and production deployment.
What you'll do
- Develop and run a research agenda for scalable model reasoning, including long-horizon tasks and robust verifiers.
- Analyze model failures and create data, benchmarks, and reward signals supporting alignment, safety, and improved behavior.
- Work with engineering on data pipelines, internal tools, and deep learning implementations.
What they ask for
- Strong software engineering skills and deep Python; able to own and debug systems end to end.
- Built evaluations, RL environments, agent harnesses, verifiers, or execution sandboxes.
- Shipped research into production, particularly post-training, distillation, and high-stakes evaluation.
- Worked on large-scale agent systems, including orchestration, tool APIs, distributed execution, observability, and logging.
Nice to have
- PhD in CS, ML, or NLP and publications at NeurIPS, ICML, or ICLR (neither required).
- Experience with public benchmarks or task suites, RLHF or RLAIF, or large expert or annotation operations.
Pay
$250,000 - $450,000 USD base salary
Tools
Python, NeurIPS, ICML, ICLR, Terminal-Bench, SWE-bench-style harnesses, HCAST, RLHF
AI focus
Foundational reasoning research, agentic tasks and evaluations, post-training, alignment, safety, and reward-signal design for frontier models.
Model-written summary · the original posting is authoritative