Machine Learning Engineer, New Grad & Entry Level
5 Days Old
Machine Learning Engineer, New Grad & Entry LevelMachine Learning Engineer, New Grad & Entry Level 1 day ago Be among the first 25 applicants
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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 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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- Location:
- San Francisco, CA
- Salary:
- $250
- Category:
- Engineering
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