PhD Research Intern

About the internship

Selected intern's day-to-day responsibilities include

1. Driving core research in specialized areas, including LLM post-training (RLHF, GRPO, instruction tuning) and data efficiency framework design.

1. Formulating and constructing domain-specific evaluation benchmarks to test LLM capabilities across security, reasoning, and safety thresholds.

1. Designing and running rigorous technical machine learning experiments to validate research hypotheses and iteratively optimizing model concepts.

1. Collaborating hand-in-hand with research scientists and cross-functional engineering teams to rapidly prototype and evaluating novel AI approaches.

1. Authoring and producing publication-ready scientific papers targeting elite, top-tier AI/ML conferences.

1. Advancing ongoing research tracks like Agentic Quality Evaluation, Few-Shot Grounding, and Human-in-the-Loop optimization to minimize manual data annotation check barriers.

Skill(s) required

Machine Learning Problem Solving Python Research and Analytics

Who can apply

Only those candidates can apply who

1. are available for full time (in-office) internship

1. are available for duration of 3 months

1. have relevant skills and interests

Other requirements

Only those candidates can apply who

1. Are currently pursuing a Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a highly related quantitative technical field.