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Research Scientist

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: techire ai
Full Time position
Listed on 2026-01-12
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 300000 USD Yearly USD 300000.00 YEAR
Job Description & How to Apply Below

Research Scientist – San Francisco, CA

Join to apply for the Research Scientist role at techire ai
.

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This range is provided by techire ai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr – $/yr

SF-based – Hybrid.

Compensation up to $300k base (flexible, DOE) plus equity, unlimited PTO, and benefits.

Job Description

Interested in advancing how agents and LLMs learn from feedback in realistic environments?

You’ll be joining a research-driven AI company building reinforcement learning simulation environments for agents and large language models, with a focus on post‑training, evaluation, and scalable supervision.

Their tools are already used in production by leading AI labs and enterprises and due to demand they are growing fast.

As a Research Scientist, you’ll work hands‑on on fundamental problems spanning LLM post‑training, RL environments, and agentic evaluation. Your work will shape core methods and benchmarks, and you’ll see your research deployed into production systems. The team actively publishes and collaborates with external research labs, with recent work appearing at ACL and NeurIPS
.

What you’ll do
  • Conduct research on LLM post‑training methods (RLHF, RLAIF, RLVR).
  • Design and build realistic RL simulation environments for agents.
  • Develop agentic evaluation and supervision frameworks.
  • Create and maintain benchmarks for emerging AI capabilities.
  • Collaborate with engineers to take research from idea to deployed systems.
What you’ll bring
  • Experience in applied research in reinforcement learning, LLM post‑training, or agent‑based systems.
  • Strong understanding of transformer architectures and LLM fine‑tuning.
  • Ability to translate research ideas into working, production‑ready systems.
Nice to have
  • Publications at top‑tier venues (NeurIPS, ICML, ACL, EMNLP).
  • Experience working on evaluation, safety, or oversight for advanced AI systems.
  • Prior work on large‑scale training or simulation environments.
Seniority level

Mid‑Senior level.

Employment type

Full‑time.

Job function

Engineering, Research, and Information Technology.

Industries

Software Development, Research Services, and Engineering Services.

All applications will receive a response.

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