EvenUp is looking to close the justice gap using technology and AI by developing and deploying models that power Piai, their proprietary claims-intelligence platform, to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own
Requirements
- 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)
- Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes)
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
Other
- Ph.D., M.S. or B.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field
- 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
- Choice of medical, dental, and vision insurance plans for you and your family
