AI Research Scientist

Skills

About the Role

You will drive a high-impact research agenda on large language models and agentic systems. You will design and run post-training experiments such as SFT, RLHF, RLAIF and DPO to improve multi-step reasoning, planning and tool use. You will build evaluation benchmarks, develop data synthesis and curation pipelines, shape the model architecture and training roadmap with research engineering and product teams, and publish at top-tier venues.

Requirements

• 4+ years of hands-on ML research experience with deep expertise in LLM pre-training and post-training
• Ph.D. in Computer Science, Machine Learning, NLP or related field, or equivalent demonstrated research experience
• Expert-level knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, GRPO
• Strong command of Python and PyTorch (or JAX)
• One or more publications at a competitive ML/AI venue
• Hands-on experience designing or evaluating agentic systems

Responsibilities

• Work on a high-impact research agenda on large language models and agentic systems
• Design and execute post-training experiments using SFT, RLHF, RLAIF, DPO and emerging alignment techniques
• Build novel evaluation benchmarks and methodologies
• Develop scalable data synthesis and curation pipelines
• Translate research insights into improvements to enterprise-grade LLMs with research engineering and product teams
• Publish and present original research at top-tier venues
• Collaborate with researchers and engineers to set a high bar for scientific rigor

Benefits

• Generous PTO and company holidays
• Medical, dental, and vision coverage
• Paid parental leave (16 weeks)
• Fertility and family planning support
• Early-detection cancer testing through Galleri
• 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
• 401k
• Equity