Senior Research Scientist, Generative AI

Job Description:

Responsibilities

• Drive research in areas such as LLM post-training (RLHF, GRPO, instruction tuning), data efficiency, and the design of benchmarks to evaluate LLM capabilities across safety, reasoning, and domain-specific performance.
• Design and run experiments to validate hypotheses and iterate on research ideas.
• Collaborate with research scientists and engineers to prototype and evaluate novel approaches.
• Produce publication-ready research targeting top-tier AI/ML conferences.

Qualification & Experience    

• A Ph.D. or Masters in Computer Science, Machine Learning, or a related field.
• 2+ years of post-PhD or 5+ years of post-Masters research experience in an academic or industrial setting.
• A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research.
• Deep expertise in at least one of the following areas: Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a strong grasp of modern Generative AI techniques (e.g., Transformers, Diffusion Models, LLMs).
• 5+ years of industry or academic research experience in ML/AI.
• Proven track record of training large models on distributed infrastructure for research purposes.
• Demonstrated ability to rapidly prototype and iterate on research ideas, signaling curiosity and an experimental approach.
• Experience collaborating effectively across an organization, not limited to just within teams, to drive research adoption.