Drimva

EvenUp

Staff Machine Learning Engineer

$212K–$301K

Remote +2 · Remote · Staff · Full-time · Posted Jul 8, 2026

Location
Remote
Toronto (hybrid)
San Francisco (hybrid)
Experience
7+ years of hands-on ML engineering experience.

About the job

Sets technical direction for machine learning across EvenUp’s claims-intelligence platform, building production systems from legal and medical data to improve outcomes for personal-injury clients.

What you'll do

  • Set ML strategy and turn ambiguous business and research goals into production-ready systems.
  • Lead difficult modeling work, establish evaluation and data-quality standards, and integrate research into production systems.
  • Mentor ML engineers and partner with Product, Engineering, and legal experts on technical direction.

What they ask for

  • 7+ years of hands-on ML engineering experience, with multiple models shipped and running in production.
  • Deep expertise in ML and NLP, including LLMs, and a track record of solving difficult modeling problems.
  • High proficiency in Python and strong command of modern ML/NLP frameworks.
  • Experience setting technical strategy, mentoring engineers, and partnering directly with Product and Engineering leadership.

Nice to have

  • PhD in Machine Learning, Computer Science, or a related quantitative field.
  • Experience with document understanding or LLM fine-tuning techniques such as LoRA, QLoRA, RLHF/RLVR.

Pay

$212K - $301K (base salary; currency not stated)

Tools

Python, ML, NLP, LLMs, LoRA, QLoRA, RLHF, RLVR

AI focus

Build and lead production ML systems for legal and medical data, including complex reasoning, long-context and multi-document understanding, fine-tuning, retrieval, evaluation, and reducing hallucinations.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)