Turing: Staff Research Engineer – Frontier AI, RL & Evaluation

Job Overview: We are seeking a highly skilled and innovative Staff Research Engineer specializing in Frontier AI, Reinforcement Learning (RL), and Evaluation. In this role, you will lead cutting-edge research efforts to develop large-scale AI models, contribute to advancing the state of the art in machine learning, and collaborate with cross-functional teams to translate research insights into impactful applications. 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. Our work includes: Software engineering environments for coding agents UI environments for computer-use and browser-use agents MCP-based environments for function-calling agents across enterprise and consumer applications We are looking for Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. This role sits at the intersection of research and engineering. You will investigate high-impact questions, design rigorous experiments, build research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. You will contribute to areas including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Rate: $40/hr Employment Type: Short Term Contract 1099

Location: WFH in ONLY these states Alabama Arizona Colorado Florida Idaho Iowa Kentucky Michigan Minnesota Mississippi Missouri Montana New York North Carolina North Dakota Oklahoma Pennsylvania South Carolina South Dakota Virginia Wisconsin Wyoming Shift: 40 hours a week with a 4hr overlap with Pacific Time business hours

Responsibilities

Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Build and Evaluate Research Systems 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. Translate Research into Practical Impact 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. Contribute to the Research Community 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. 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.

Qualifications

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. Join us to be at the forefront of artificial intelligence innovation, contributing to transformative advancements that shape the future of technology. Pay: $40.00 per hour Expected hours: 40.0 per week Work

Location: Remote