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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for 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.

Qualification

Required

• Ph.D. or M.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

Preferred

• exposure to cloud platforms (AWS/GCP)
• experiment-tracking tools (Weights & Biases, MLflow)

Seniority level

• Seniority levelEntry level

Employment type

• Employment typeFull-time

Job function

• IndustriesSoftware Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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