- Proficiency in Python and related frameworks/libraries for AI/ML tasks.
- Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
- Strong understanding of evaluation strategies and benchmarking processes for AI models.
- Ability to design and implement Python code for data generation and model optimization.
- Familiarity with AI model response evaluation and ranking methodologies.
More About the Opportunity : This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field. Equal Opportunity Employer : We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and