Data Scientist / Machine Learning Engineer (Early Career)

Employment Type: Full-Time Location Type: Hybrid Salary:

Position Overview

EvenUp is a rapidly growing generative AI startup dedicated to leveling the playing field for personal injury victims across various case types, from motor vehicle accidents to child abuse. Our innovative products empower law firms to achieve faster settlements, higher payouts, and better outcomes for those in need.

We are seeking a curious and impact-driven early-career Data Scientist / Machine Learning Engineer to join our AI R&D team. In this role, you will develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a specific focus on machine learning, natural-language processing, and generative AI. You will collaborate with senior ML engineers, data scientists, and legal subject-matter experts to transform raw legal and medical data into production-ready models that directly improve justice for personal-injury clients.

Responsibilities

• Model Research & Prototyping: Explore, implement, and benchmark ML/NLP/generative-AI methods, including LLM fine-tuning, retrieval-augmented generation, and 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, conduct A/B tests, analyze results, and communicate findings to the broader product and engineering teams.
• Productionization: Assist in integrating models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling.
• Cross-functional Collaboration: Partner with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements.
• Continuous Learning: Stay abreast of research in LLMs, representation learning, and prompt engineering; share insights through internal talks and documentation.

Requirements

• Education: Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field.
• Core Expertise:
  • Solid understanding of 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).
• Technical Stack:
  • 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).
• Mindset & People Skills:
  • Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup environment.
  • Clear, concise communication skills, both written and verbal.
  • Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions.

Location

• Hybrid – Offices located in San Francisco and Toronto.

Company Information

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

Benefits & Perks

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience.

Notice to Candidates

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. Please be advised that we have no affiliation or connection to these situations. We exclusively post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards such as our official LinkedIn or Indeed pages. All official EvenUp recruitment communications will originate from the following email domains: @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, or no-reply@ashbyhq.com.

If you receive communication from an individual you suspect of impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.