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