Job Description

Machine Learning Engineer, New Grad & Entry Level

Machine Learning Engineer, New Grad & Entry Level

1 day ago Be among the first 25 applicants

NFX is a venture firm exclusively focused on pre-seed & seed stage startups, and EvenUp is one of the fastest-growing generative AI startups in history. The role involves developing and deploying machine learning models for their claims-intelligence platform, collaborating with various teams to enhance 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.

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 level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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