Staff Research Engineer
$250k - $400k • Remote • United States
Posted 22d ago
Job Location
United States
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
Turing is at the forefront of accelerating superintelligence to drive economic progress. We partner with leading AI labs and enterprises to create high-quality datasets, reinforcement learning environments, and research benchmarks that enhance model capabilities in areas like software engineering, enterprise knowledge work, and advanced STEM reasoning. Our work spans both foundational research and applied AI development, focusing on synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. We aim to bridge the gap between cutting-edge research and real-world deployment, using deployment signals to refine data, evaluations, and models.
Responsibilities
- Investigate the capabilities, limitations, and training methods of frontier AI systems.
- Formulate research questions to inform product, platform, and technical strategy.
- Explore new approaches in synthetic/agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
- Stay current with machine learning advances and identify opportunities for technical contribution.
- 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 evidence-based conclusions.
- Establish best practices for experimental rigor, data quality, reproducibility, and interpretation.
- Iterate quickly from hypothesis to validated technical insight.
- Collaborate with Research, Engineering, Product, and Operations teams.
- Translate research findings into product and platform improvements.
- Identify ideas ready for scalable, real-world application.
- Communicate technical findings to diverse audiences.
- Share findings through technical reports, publications, open-source work, workshops, or conferences.
- Contribute to research culture through discussions, peer review, mentorship, and collaboration.
- Represent Turing within the 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.
- Strong foundation in machine learning.
- Practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
- Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
- Strong programming skills and the ability to implement research prototypes.