Principal Machine Learning Engineer at EvenUp

San Francisco, California, United States

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$260,000 – $390,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial Intelligence, Legal TechnologyIndustries

Requirements

Candidates should possess 12+ years of experience in machine learning with a proven track record of shipping scalable systems and advancing the state of the art. A PhD in Machine Learning, Computer Science, or a related quantitative field, or equivalent demonstrated mastery, is required. Expertise in large-scale ML and LLMs is essential.

Responsibilities

The Principal Machine Learning Engineer will define and drive the technical vision for generative AI and Document AI at EvenUp, leading research-to-production innovation in areas such as information extraction, generative workflows, conversational AI, retrieval-augmented generation, evaluation, and efficient training. This role involves shaping the ML strategy and technical roadmap, acting as a company-wide thought leader in generative AI, and mentoring the ML organization.

Skills

Machine Learning

Generative AI

Document AI

LLMs

Technical Vision

Software Development

Problem-Solving

EvenUp

Legal services for personal injury cases

About EvenUp

EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$214MTotal Funding

SERIES_DCompany Stage

LegalIndustries

201-500Employees

Risks

Increased competition from other legal tech startups could erode EvenUp's market share.

Reliance on a contingency fee model poses financial risks with unsuccessful cases.

Potential regulatory changes in AI use could impact EvenUp's operations.

Differentiation

EvenUp uses AI to automate legal document creation, reducing time and costs.

The company targets the $20 million insurance claim market with AI-driven solutions.

EvenUp's meticulous case preparation results in high settlement amounts and quick resolutions.

Upsides

Recent $135 million Series D funding shows strong investor confidence in EvenUp.

Launch of AI assistant Litty highlights growth in generative AI for legal automation.

Strategic board appointments could open new avenues for growth and partnerships.

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