Senior Machine Learning Engineer

You will own production AI projects from failure diagnosis and evaluation design through deployment and iteration. You will develop LLM and agentic systems, improve model behavior, build evaluation pipelines and feedback loops, apply recent AI research, and work across models, data, orchestration, serving, observability, and production debugging.

Responsibilities

• Design and own evaluation pipelines for LLM and agentic systems
• Diagnose production failure modes and test model and system improvements
• Develop production agentic AI systems
• Turn production failures and user feedback into datasets, evaluations, and improved model behavior
• Translate AI research into practical experiments
• Own models, data, evaluation, orchestration, serving, and observability work

Requirements

• 5+ years in production machine learning, research engineering, or applied AI
• Experience building or materially improving a consequential production AI system
• Knowledge of LLMs, transformers, and production AI systems
• Experience designing evaluations for LLMs, agents, or complex AI systems
• Experience building systems with models, tools, retrieval, context, state, routing, or orchestration
• Python proficiency and modern machine learning framework experience
• Knowledge of deployment, observability, CI/CD, and containerized systems

Benefits

• Comprehensive medical, dental, and vision coverage for employees and dependents
• 401(k) company match up to 3% of base salary
• 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