Early Career Machine Learning Engineer
Early Career Machine Learning Engineer
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Job Description
EvenUp is one of the fastest-growing generative AI startups in history on a mission to level the playing field for personal injury victims which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements higher payouts and better outcomes for those who need it most.
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. or M.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 ( or reputable job boards like our official LinkedIn or Indeed pages and all official EvenUp recruitment emails will come from the domains @ @ @ or email address.
If you receive communication from someone you believe is impersonating EvenUp please report it to us by emailing . Examples of fraudulent email domains include and .
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. To that end here is a preview of what we offer:
Choice of medical dental and vision insurance plans for you and your family
Flexible paid time off
10 US observed holidays and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees
Paid parental leave
Sabbatical program
A meet-up program to get together in person with colleagues in your area
Offices in San Francisco Los Angeles and Toronto
Please note the above benefits & perks are for full-time employees
About EvenUp:
EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights AI workflow automation and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs including Bessemer Venture Partners Bain Capital Ventures (BCV) SignalFire NFX DCM and more EvenUps customers range from top trial attorneys to Americas largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at .
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.
Employment Type
Full-Time
