Senior Machine Learning Engineer, Agent Eval Platform

About this job

5+ years in applied ML, data science, or ML-adjacent engineering, with a track record of work that shipped and got used Experience turning subjective human judgement into a measurement that holds up — one that other people, and ideally other models, can act on. This is the core of the job Strong applied ML fundamentals, and comfort treating LLMs as a component you evaluate, prompt, and fine-tune rather than one you pretrain Strong Python, and the discipline to ship production-grade code rather than notebooks Ability to think and communicate clearly about complex problems — a large part of this job is convincing engineers that a number means what you say it means, and being right A high degree of ownership and a bias toward shipping at startup pace Comfort with ambiguity, and the judgement…

This is a short summary.

Want to know if you're a fit? Check your CV against this role — free, in 30 seconds.

Most-requested skills in the United States

Based on 419 United States vacancies that list requirements, these are the skills employers ask for most often.

• Project Management36% of postings
• CAD22% of postings
• AutoCAD20% of postings
• Lean17% of postings
• MATLAB14% of postings
• Six Sigma11% of postings
• Quality Assurance10% of postings
• Revit9% of postings

Similar jobs

• Automotive Powertrain - Mechanical Project Engineer · ABB
• Senior Solutions Owner, Retail Applications Engineering · National Vision
• Process Engineer | Engineering Manager - Optical Manufacturing · National Vision
• AI Software Engineer III · JPMorgan Chase
• Lead Infrastructure Engineer ( SDWAN)- Risk Management · JPMorgan Chase
• Senior Software Engineer- Machine Learning · Anduril Industries