Senior Machine Learning Engineer - LLMs & Document AI

Position Overview

EvenUp is on a mission to close the justice gap using technology and AI. By empowering personal injury lawyers and victims, we enable faster settlements, higher payouts, and better outcomes for those injured through no fault of their own. As one of the fastest-growing vertical SaaS companies, EvenUp is backed by top VCs and is now seeking a Senior Machine Learning Engineer to join our interdisciplinary team. This hybrid role requires working at least 3 days a week from our office hubs in San Francisco or Toronto.

Key Responsibilities

• Develop advanced Document AI models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval from legal and medical texts.
• Conduct hands-on data analysis to ensure high-quality training datasets by identifying and managing outliers, mislabeled data, edge cases, and noise.
• Solve complex modeling challenges such as long-context and multi-document reasoning, including prompt design and effective context segmentation.
• Lead fine-tuning of Large Language Models using reinforcement learning, parameter-efficient techniques (e.g., LoRA, QLoRA), and advanced prompt engineering.
• Collaborate with product, engineering, and legal experts, contributing to peer reviews, knowledge sharing, and technical discussions to deliver robust, business-impactful solutions.

Required Qualifications

• 5+ years of experience in machine learning with multiple models deployed in operational settings.
• MS or PhD in Machine Learning, Computer Science, or other quantitative fields.
• Strong proficiency with the latest Large Language Model (LLM) technologies and expertise in areas such as deep learning or reinforcement learning.
• High proficiency in Python and a solid foundation in procedural programming.
• Excellent communication and collaboration skills.

Benefits & Perks

• 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, as well as 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 and a local in-person meet-up program
• Hybrid work environment with office hubs in San Francisco and Toronto
• Compensation Range: $176K - $265K