Staff Research Engineer – Frontier AI, RL & Evaluation

We are looking for a Staff Research Engineer with strong hands-on experience in Frontier AI, RL & Evaluation to support and modernize data platforms for a healthcare technology environment.

Position: Staff Research Engineer – Frontier AI, RL & Evaluation
Employment Type: Contract (3 months)
Location: Remote
YOE: 7+ Years

Availability - 8 hours per day with an overlap of 4 hours with PST.

Conduct Research on Frontier AI Systems

· 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.

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.

What We’re Looking For

· 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:

o Synthetic or agentic data generation

o Reinforcement learning or post-training

o Model understanding

o AI evaluation

o Benchmarks

o 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.

Interested candidate please share your resume to [email protected]

Pay: Up to ₹150,000.00 per month

Work Location: Remote