Principal Machine Learning Engineer, EvenUp
$260-390k
Salary applicable for candidates based in San Francisco. For candidates based in Toronto: $220,000 - $330,000 CAD + Equity
3+ days a week in office
AI-driven support for personal injury lawyers
Be an early applicant
AI-driven support for personal injury lawyers
201-500 employees
Be an early applicant
$260-390k
Salary applicable for candidates based in San Francisco. For candidates based in Toronto: $220,000 - $330,000 CAD + Equity
3+ days a week in office
201-500 employees
Company mission
To close the justice gap using technology and AI.
Role
Who you are
- This role is for someone who thrives on both vision and execution: pioneering new approaches in a fast-evolving field, while also shipping systems that redefine what is possible in legal technology
- 12+ years of experience in machine learning, with a proven record of shipping multiple systems at scale and advancing the state of the art
- PhD in Machine Learning, Computer Science, or related quantitative field, or equivalent experience demonstrating mastery
- Recognized expertise in large-scale ML and LLMs, with strong publication, patent, or open-source contributions a plus
- Ability to define and drive a technical vision that aligns with company strategy, even under uncertainty
- Strong track record of innovation in deep learning, generative models, reinforcement learning, or probabilistic methods, with direct impact on real-world systems
- Hands-on mastery of modern ML toolchains and programming (Python, PyTorch, TensorFlow, distributed training, large-scale data systems)
- Exceptional ability to translate cutting-edge research into robust, practical solutions that move the needle for customers
- Demonstrated thought leadership and influence across organizations, with the ability to set standards and inspire others
- If you want to push beyond today’s limits of LLMs, invent the future of Document AI, and see your work translate into justice and fairness for millions of people, we’d love to meet you
What the job involves
- We are seeking a Principal Machine Learning Engineer, the highest individual contributor level at EvenUp, who will help define not just our technology roadmap, but the future of Document AI itself
- Help define and drive the technical vision at EvenUp, identifying the most impactful opportunities in generative AI and ensuring the company remains at the forefront of the rapidly evolving Document AI landscape
- Invent and deliver the next generation of Document AI and Conversational AI, enabling robust understanding, reasoning, and generation across diverse legal and medical documents, as well as natural, accurate, and context-aware interactions with users through conversational interfaces
- Lead research-to-production innovation in:
- Information Extraction & Reasoning: scalable multi-document entity/relation extraction, knowledge graph construction, and long-context reasoning
- Generative Workflows: producing reliable, high-quality legal and medical documents with deep structural and semantic fidelity
- Conversational AI: building advanced dialogue systems that empower legal professionals to interact with our platform, retrieve insights, and generate documents through natural language conversations
- Retrieval-Augmented Generation (RAG): multi-hop retrieval, reasoning chains, and verifiable generation at scale
- Evaluation & Trust: systematic benchmarking, reliability, factuality, and risk assessment of LLMs in high-stakes legal and medical domains
- Efficient Training & Adaptation: parameter-efficient fine-tuning, distillation, multi-modal integration, and domain-specific pretraining strategies
- Shape EvenUp’s ML strategy and technical roadmap, working hand-in-hand with product, engineering, and leadership to ensure our Document AI capabilities directly drive company growth and customer impact
- Act as a company-wide thought leader in generative AI, providing strategic advice to executives and influencing not just what we build, but how we prioritize and compete
- Mentor and elevate the entire ML organization, fostering a culture of deep technical rigor, creativity, and excellence
- This is a rare opportunity to operate at the frontier of generative AI in one of its most consequential applications
- As Principal MLE at EvenUp, you won’t just be solving technical challenges—you will be defining the roadmap of a company and shaping the trajectory of an industry
Our take
Every year, millions of personal injury cases in the US are resolved with only a small fraction going to trial, leaving many victims potentially under-compensated due to inaccurate settlement proposals. EvenUp aims to change this by leveraging AI technology to streamline the assessment of injury cases.
The AI tools evaluate raw case files, including medical and police records, creating tailored "demand packages" that present comprehensive compensation arguments. This improves lawyer performance and victim outcomes.
Despite concerns about AI bias and privacy, EvenUp has garnered significant investor interest, closing a funding round in 2024 that was one of the largest in the history of legal AI. Now valued at over $1 billion, it is investing in its team and introducing new techniques and products for personal injury and other legal areas.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Oct 2024
$135m
SERIES D
Sep 2024
$35m
SERIES C
Total funding: $220m
Company benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- Choice of medical, dental, and vision insurance plans for you and your family
- Flexible paid time off and 10+ holidays per year
- A stipend to upgrade your home office for fully-remote roles
- 401k for US-based employees 🇺🇸
Company HQ
The Castro, San Francisco, CA
Leadership
Rami Karabibar
(Co-founder & CEO)Graduated from the McGill University with a Bachelor's Degree in Investment Management. Previously worked as a Management Consultant at Bain & Company and as a Startup Generalist at Zoomer.
Raymond Mieszaniec
(Co-founder & COO)Previously co-founded EquitySim. Also worked as a Risk Consultant at PwC Hong Kong and Mainland China and as an Accountant at Scotiabank.
Saam Mashhad
(Chief of Product & Legal Operations)Previously worked as a Law Clerk at the Superior Court of Quebec. Also co-founded Compass Startup & Legal Clinic where they served as the Director for 3 years before becoming an Associate at Norton Rose Fulbright.
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