Staff Machine Learning Engineer, LLMs and Document AI

EvenUp

full-time

Posted on: 8/27/2025

Location: California • 🇺🇸 United States

✨ AI Apply

💰 $215,000 - $323,000 per year

Lead

Python

About the role

EvenUp mission: close the justice gap using technology and AI, enabling law firms to secure faster settlements and better outcomes for victims
Hybrid Staff Machine Learning Engineer role focused on LLMs and Document AI for legal and medical text
Develop advanced document AI models for entity/relationship extraction, document structure understanding, information retrieval and reasoning
Conduct hands-on data analysis to ensure high-quality training and evaluation datasets; manage outliers, mislabeled data, edge cases, noise, and drift
Solve long-context and multi-document reasoning challenges; reduce hallucinations and improve factual consistency
Lead LLM fine-tuning using reinforcement learning with verifiable reward signals and parameter-efficient techniques (LoRA, QLoRA)
Mentor and guide ML engineers and data scientists; collaborate with product, engineering, and legal experts
Expectation to work at least 3 days a week from San Francisco or Toronto hubs

10+ years of experience in machine learning with multiple models deployed in operational settings
PhD in Machine Learning, Computer Science, or other quantitative fields
Strong proficiency with the latest Large Language Model (LLM) technologies
Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization
Strong communication, collaboration, and coaching skills
High proficiency in a procedural programming language (e.g. Python)
Ability to translate and apply cutting edge research into practical solutions
Strong leadership and mentorship abilities, with a passion for guiding and developing other team members