Early Career Machine Learning Engineer (San Francisco)

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. Youll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, youll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients.

What youll do :

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.

What we look for :

Education : Ph.D., M.S. or B.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field

Core expertise :

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).

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.

Clear, concise communicationboth written and verbal.

Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions.

Location : Hybrid We have offices in San Francisco and Toronto

Notice to Candidates :

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com / careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no?reply@canditech.io email addresses.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If youre interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include careers-evenuplaw.com and careers-evenuplaws.com.

Benefits & Perks :

As part of our total rewards package, we offer attractive benefits and perks to our employees, including :

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

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.