Staff Machine Learning Engineer, LLMs and Document AI

🕒 August 27, 2025

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EvenUp

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Legal • Artificial Intelligence • SaaS

EvenUp is a company that specializes in providing AI-driven solutions for personal injury law firms to enhance the efficiency and effectiveness of case handling and settlements. The company's Claims Intelligence Platform™ supports law firms by generating AI demand letters designed to capture every detail and maximize case value. Their suite of products, including MedChrons, Executive Analytics, Case Preparation, Negotiation Preparation, and Settlement Repository, leverages AI and data analytics to streamline legal processes, improve negotiation outcomes, and increase the likelihood of hitting policy limits. EvenUp is SOC2 and HIPAA certified, ensuring high standards of security and privacy for sensitive legal and medical data. The company aims to level the legal playing field by providing personal injury firms with tools that utilize proprietary data and expert insights to navigate complex cases with precision and speed.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Choice of medical, dental, and vision insurance plans for you and your family • Additional insurance coverage options for life, accident, or critical illness • Flexible paid time off, sick leave, short-term and long-term disability • 10 US observed holidays, and Canadian statutory holidays by province • A home office stipend • 401(k) for US-based employees and RRSP for Canada-based employees • Paid parental leave • A local in-person meet-up program • Hubs in San Francisco and Toronto