EvenUp · 1 day ago
Machine Learning Engineer 1 & 2 - Systems
San Francisco, CA
Full-time
Hybrid
Entry, Mid Level
$126K/yr - $218K/yrEvenUp is on a mission to close the justice gap using technology and AI. They are seeking a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join their AI R&D team to develop and deploy models that improve justice for personal-injury clients.
Artificial Intelligence (AI)LegalLegal TechMachine LearningSoftware
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
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), or containerized deployment (Docker/Kubernetes)
Benefits
Choice of medical, dental, and vision insurance plans for you and your family
Additional insurance coverage options for life, accident, or critical illness
Flexible paid time off, sick leave, short-term and long-term disability
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees and RRSP for Canada-based employees
Paid parental leave
A local in-person meet-up program
Hubs in San Francisco and Toronto
Company
EvenUp
EvenUp is the leading AI platform for personal injury law.
Founded in 2019
201-500 employees
H1B Sponsorship
EvenUp has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (2)
2023 (1)
Funding
Current Stage
Growth StageLeadership Team
Rami Karabibar
CEO & Co-founder
Annie Viera
Talent Partner
Recent News
n49p.com
2024-03-05
The Information
2024-01-19
2024-01-19
Company data provided by crunchbase