Machine Learning Engineer 1 & 2 - Systems

EvenUp is on a mission to close the justice gap using technology and AI. They are seeking a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join their AI R&D team to develop and deploy models that improve justice for personal-injury clients. Responsibilities Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding) Data preparation & feature engineering – Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders Experimentation workflow – Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams Productionization – Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling Cross-functional collaboration – Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements Continuous learning – Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs Skills Education: Ph.D., M.S. or B.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication—both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes) 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 Company Overview EvenUp is the leading AI platform for personal injury law. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is