EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed.

Machine Learning

Engineer

We're looking for a Machine Learning Engineer to join our ML team at EvenUp. You'll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you'll turn raw legal and medical data into production-ready models that directly improve outcomes for personal-injury clients.

Explore, implement, and benchmark ML, NLP, and generative AI methods - including LLM fine-tuning, retrieval-augmented generation, and document understanding. Clean, annotate, and transform structured and unstructured case data, and build reusable datasets and data loaders. Design experiments, run A/B tests, analyze results, and communicate findings to product and engineering teams.

Help integrate models into our production systems, partnering with ML platform engineers on testing, monitoring, and scaling. Pair with product managers, legal analysts,



and software engineers to translate real problems into ML solutions and measurable improvements. D. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field.

Solid grounding in ML fundamentals - supervised and unsupervised learning, evaluation metrics, overfitting and regularization. Hands‑on experience with NLP or generative AI techniques - transformers, embeddings, sequence-to-sequence models, or LLMs. Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy.

Familiarity with SQL and basic data engineering concepts - ETL, versioned datasets, notebooks. Ability to work hybrid (3 days your choice) in our San Francisco or Toronto, Canada office. Exposure to cloud platforms (AWS, GCP).

Familiarity with containerized deployment (Docker, Kubernetes). Choice of medical, dental, and vision insurance plans for you and your family. Adaptable 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. Paid parental leave. A local in‑person meet‑up program. Hubs in San Francisco and Toronto. (Please note the above benefits & perks are for full-time employees) We are committed to diversity and inclusion in our company.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #

📌 Machine Learning Engineer (Python / Data Science) (Toronto)
🏢 EvenUp
📍 Toronto