AI Research Scientist

Skills

About the Role

You'll lead an independent research agenda on LLMs and agentic systems, run large-scale post-training experiments, build evaluation benchmarks, develop data synthesis pipelines, shape model architecture roadmap, publish at top venues, and mentor fellow researchers. Open to Senior, Staff, and Sr. Staff levels. You'll report to the VP of AI research.

Requirements

• 7+ years of hands-on ML research experience with LLM pre-training and post-training
• Ph.D. in Computer Science, Machine Learning, NLP, or related field, or equivalent research experience
• Expert knowledge of SFT, RLHF, RLAIF, DPO, GRPO
• Strong Python and PyTorch (or JAX)
• Publication record at competitive ML/AI venues
• Experience designing or evaluating agentic systems

Responsibilities

• Lead an independent research agenda on LLMs and agentic systems
• Design and execute large-scale post-training experiments using SFT, RLHF, RLAIF, DPO
• Build novel evaluation benchmarks and methodologies
• Develop scalable data synthesis and curation pipelines
• Shape model architecture and training roadmap
• Publish and present original research at top-tier venues
• Mentor fellow researchers and engineers

Benefits

• Generous PTO plus company holidays
• Medical, dental, and vision coverage
• Paid parental leave (16 weeks)
• Fertility and family planning support
• Early-detection cancer testing
• Flexible spending account and dependent FSA
• Health savings account with company contribution
• Wellness stipend
• Learning and development stipend
• Company-wide and team off-sites
• Company stock options and 401k
• Equity