Principal Research Engineer - Code

Post-training experience on SWE tasks

or

experience building coding agents:

We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.

Engineering Management experience:

have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).

$250,000 to $350,000 OTE + Equity

Values:

We are client first

: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

We work at Start-Up Speed:

We move fast, stay agile and favor action because momentum is the foundation of perfection

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises, including OpenAI, Anthropic, Google DeepMind, Microsoft AI, Amazon, Apple, and many more. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:

Environments for Software Engineering / coding agents

UI-Environments for Computer-Use/Browser-Use agents

MCP-based Environments for general function-calling agents across various enterprise and consumer applications

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