- PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field.
- Demonstrated ability to formulate and execute original research.
- Strong understanding of modern LLMs and the frontier AI research landscape.
- Excellent experimental design, quantitative reasoning, and scientific judgment.
- Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
- Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
- Excellent technical writing and communication.
- Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter.
A note from our CTO, Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
- Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
- Build datasets and environments that directly improve the capabilities of advanced AI systems.
- Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
- Apply frontier AI innovations to high-value enterprise workflows.
- Operate with high autonomy, rapid iteration, and meaningful commercial impact.
- Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
- Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation: $250,000 to $400,000 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
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
For applicants from the European Union, please review Turing's GDPR notice here.