Senior Data & RL Engineer — Coding Agents Lead

turing

Palo Alto (CA)

On-site

USD 250,000 - 350,000

Full time

14 days+
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Benefits offered by this job

Equity
Office in SF/Palo Alto/Seattle

Job summary

Turing is seeking a Senior Research Engineer to own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs. You will lead cross-functional teams and interface directly with researchers and engineers at partner labs to understand needs and deliver data offerings that meet high standards of realism, correctness, and diversity.

This hands-on leadership role emphasizes building data pipelines, automations, and internal tools, and you will report to the Labs/Engineering

Qualifications

  • Post-training experience on SWE tasks or building coding agents.
  • Engineering management experience with team leadership and QA processes.
  • Operational leadership with data pipelines and multi-stakeholder delivery.
  • Strong cross-functional communication with frontier labs and researchers.
  • Background in CS, ML, or related technical field preferred.

Responsibilities

  • Own the end-to-end creation of datasets, RL environments, and evals for frontier AI labs.
  • Interface directly with researchers/engineers at labs to understand needs and define success criteria.
  • Build and lead cross-functional teams of engineers, researchers, QAs, and data creators.
  • Develop data pipelines, validation workflows, and automated reviews for data generation.
  • Publish findings and provide instruments and benchmarks to inform product roadmap.

Skills

Post-training SWE experience
Engineering management
Operational leadership
Cross-functional communication
CS/ML background

Education

BS/MS in CS/ML or related

Tools

Python
Go/Java/Rust

Job description

Turing is seeking a Senior Research Engineer to own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs. You will lead cross-functional teams and interface directly with researchers and engineers at partner labs to understand needs and deliver data offerings that meet high standards of realism, correctness, and diversity.

This hands-on leadership role emphasizes building data pipelines, automations, and internal tools, and you will report to the Labs/Engineering

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