Staff ML Engineer Frontier AI

You will set technical direction for production AI systems, define quality and evaluation strategies, improve model behavior, and architect agentic systems. You will lead post-training initiatives, build feedback-driven improvement loops, shape the technical roadmap, mentor engineers, and translate AI research into reliable clinical products.

Responsibilities

• Define AI quality and evaluation strategy for LLM and agentic systems
• Drive production model improvements across prompting, retrieval, routing, data, and post-training
• Advance post-training capabilities including fine-tuning, preference optimization, reinforcement learning, distillation, and synthetic data
• Architect production agentic AI systems
• Build self-improving loops from production failures and user feedback
• Co-develop the technical roadmap
• Lead technical reviews, mentor engineers, and establish best practices
• Drive experiments informed by research in LLMs, agents, NLP, speech, and multimodal AI

Requirements

• 7+ years of production ML, research engineering, or applied AI experience
• Expertise with modern LLMs, transformers, and production AI systems
• Experience designing evaluations for LLMs or agents
• Experience building or architecting production agentic systems
• Experience improving models through post-training or model adaptation
• Proficiency in Python and modern ML frameworks
• Experience with MLOps, CI/CD, observability, and containerized deployments
• Experience building high-quality datasets and feedback loops

Benefits

• Medical, dental, and vision coverage for employees and dependents
• 401(k) matching up to 3% of base salary
• Remote-friendly culture and full equipment provisioning
• Parental leave
• Company and team off-sites with travel, lodging, and meals covered
• Flexible time off with no annual cap
• Company-wide holidays and annual holiday shutdown