Senior Research Engineer, SWE

Turing is recruiting a Senior Research Engineer for its research group. The listing marks the position as on-site and does not name a city. The role sits between research and engineering, aiming to advance frontier AI systems through hands-on work on data, algorithms, evaluation and training.

The company produces large datasets and reinforcement learning environments used to refine models for leading AI labs and enterprises. Those environments simulate long, multi-step tasks in domains like finance, sales, retail, dev tooling, collaboration and customer support. The posting names three environment families: software engineering and coding agents, user-interface environments for computer-use and browser-use agents, and environments built on the MCP protocol for function-calling agents across business and consumer applications.

The engineer designs and runs careful experiments, builds prototypes and tooling at research grade, and collaborates with colleagues in research, engineering, product and operations to turn promising ideas into scalable applications. Topics span synthetic and agentic data creation, RL, post-training, model interpretation, benchmarks and evaluation. Findings are meant to improve Turing's products and platforms, and results are shared via reports, papers, open-source releases or conference talks.

The posting asks for a PhD or Master's in AI, machine learning, computing or a neighbouring discipline, or research experience of comparable standing. Candidates should understand machine learning well and bring hands-on skill in designing experiments and assessing models with current AI tooling. Research background in synthetic or agentic data, reinforcement learning, post-training or evaluation is expected, along with strong programming and the ability to iterate quickly. Listed compensation is $250,000 to $350,000 on-target earnings plus equity.