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Job Summary:
EvenUp is on a mission to close the justice gap using technology and AI. They are seeking an early career Data Scientist / Machine Learning Engineer to develop and deploy models for their claims-intelligence platform, focusing on machine learning and natural language processing.
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.
Qualifications:
Required:
• 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
Preferred:
• Exposure to cloud platforms (AWS/GCP)
• Experiment-tracking tools (Weights & Biases, MLflow)
• Containerized deployment (Docker/Kubernetes)
Company:
EvenUp is the leading AI platform for personal injury law. Founded in 2019, headquartered in San Francisco, California, USA, team size 201-500 employees, currently Growth Stage. EvenUp has a track record of offering H1B sponsorships.
Jobright.ai
Senior (5+ years of experience)
Tagged as: Computational Linguistics , Industry , Natural Language Processing , NLP , Supervised Learning , United States
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