Develop NLP and generative AI models at EvenUp, working hybrid from San Francisco or Toronto with Python and machine learning expertise. Build technology supporting Piai™, EvenUp’s claims-intelligence platform. As a Machine Learning Engineer, you will work with senior engineers, data scientists, and legal experts. You will transform legal and medical data into production-ready models for personal-injury clients. The work spans machine learning, natural-language processing, and generative AI. Key Responsibilities:

Explore and benchmark ML, NLP, and generative AI methods Fine-tune LLMs and develop retrieval-augmented generation systems Build datasets and data loaders from case data Design experiments, run A/B tests, and analyze results Integrate models with testing, monitoring, and scaling support Requirements:

Degree in computer science, machine learning, or related field Understanding of supervised and unsupervised learning fundamentals Hands-on NLP or generative AI experience Python proficiency with PyTorch, TensorFlow, Hugging Face, or spaCy Ability to work hybrid in San Francisco or Toronto Apply machine learning, NLP, Python, and generative AI skills to production models powering EvenUp’s legal technology.

📌 Machine Learning Engineer NLP AI (Toronto)
🏢 EvenUp
📍 Toronto