Senior Machine Learning Engineer, EvenUp
LLMs & Document AI
$176-265k
Canada salary range: $147,000 – $220,000 (CAD); Offers 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
$176-265k
Canada salary range: $147,000 – $220,000 (CAD); Offers 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
- 5+ years of experience in machine learning with multiple models deployed in operational settings
- MS or PhD in Machine Learning, Computer Science, or other quantitative fields
- Strong proficiency with the latest Large Language Model (LLM) technologies
- Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization
- Strong communication, and collaboration skills
- High proficiency in a procedural programming language (e.g. Python)
- Ability to translate and apply cutting edge research into practical solutions
What the job involves
- Develop Advanced Document AI Models
- Design and refine ML models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval and reasoning from legal and medical text
- Conduct hands-on data analysis to ensure high-quality training and evaluation datasets, including identification and management of outliers, mislabeled data, edge cases, noise, and drift; work with data stakeholders to iteratively improve data quality
- Solve Complex Modeling Challenges
- Tackle long-context and multi-document reasoning challenges, including prompt design, context segmentation, and aggregation of distributed facts
- Develop strategies to reduce hallucinations, improve factual consistency, and handle ambiguous, noisy, or incomplete data
- Lead LLM Fine-tuning
- Apply reinforcement learning with verifiable reward signals to fine-tune LLMs for factual and extraction accuracy
- Apply parameter-efficient fine-tuning (e.g., LoRA, QLoRA) to maximize model performance
- Experiment with and benchmark advanced prompt engineering techniques (few-shot, chain-of-thought, instruction tuning), balancing context length and extraction accuracy
- Provide Leadership & Collaboration
- Contribute to a rigorous and creative modeling culture through peer code reviews, knowledge sharing, and technical discussions
- Collaborate with product, engineering, and legal experts to deliver robust, business-impactful solutions
- Uphold best practices for experimentation, benchmarking, and documentation in modeling
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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