AI Research Engineer (Reinforcement Learning and Evaluation)
About the role
Turing builds large scale datasets and reinforcement learning environments that power post training for leading AI labs and enterprises. Our environments evaluate and improve AI models on complex, long range, multi step workflows across high value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, and Customer Experience.
What you'll do
- Investigate the capabilities, limitations, and training methods of frontier AI systems.
- Formulate research questions that inform Turing’s products, platforms, and technical strategy.
- Explore new approaches to synthetic and agentic data generation, reinforcement learning, post training, model understanding, benchmarks, and evaluation.
- Stay current with advances in machine learning and identify opportunities for meaningful technical contributions.
- Develop research grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
- Train, test, and evaluate models using modern AI and machine learning tools.
- Analyze experimental results and draw clear, evidence based conclusions.
- Establish strong practices for experimental rigor, data quality, reproducibility, and interpretation.
- Iterate quickly from initial hypotheses to validated technical insights.
- Collaborate with Research, Engineering, Product, and Operations teams.
- Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
- Identify which ideas are ready to move from exploration into scalable, real world applications.
- Communicate technical findings clearly to both specialized and cross functional audiences.
- Share findings through technical reports, publications, open source work, workshops, or conferences where appropriate.
- Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
- Represent Turing thoughtfully within the broader AI research community.
Requirements
- PhD or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical field. Exceptional equivalent research experience will also be considered.
- Minimum 7+ years of professional experience with significant research engineering experience working on machine learning or frontier AI systems.
- Strong foundations in machine learning and practical experience designing experiments, training models, evaluating models, or developing AI systems.
- Demonstrated research experience in one or more of the following areas:
- Synthetic or agentic data generation
- Reinforcement learning or post training
- Model understanding
- AI evaluation
- Benchmarks
- AI agents or tool using systems
- Strong programming skills, particularly in Python, with the ability to implement, test, and iterate quickly in a research environment.
- Experience with modern AI and machine learning frameworks and tooling.
- Strong scientific judgment around experimental rigor, data quality, reproducibility, and evidence based decision making.
- Excellent written and verbal communication skills.
- Ability to work independently and collaborate effectively across research and engineering teams.
- Experience mentoring engineers or researchers and providing technical leadership.
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
AI Alerts shares third-party job opportunities for informational purposes only. We are not the employer and are not involved in the hiring process. Always verify the company and role through official channels before applying, and never pay to apply, train, onboard, process documents, or secure a job offer. Legitimate employers do not ask applicants for money. Read our Terms to learn more.