Senior Machine Learning Engineer - Systems at EvenUp

San Francisco, California, United States

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$176,000 – $265,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial Intelligence, Legal TechnologyIndustries

Requirements

Candidates should have a strong understanding of machine learning, natural-language processing, and generative AI. Experience with transformer models, including LLMs, embeddings, and fine-tuning methods like LoRA and PEFT, is required. Familiarity with vector databases, retrieval frameworks, and strong software engineering skills in Python and distributed computing are also necessary. An understanding of evaluation methodologies for generative AI is preferred.

Responsibilities

The Senior Machine Learning Engineer will design and implement end-to-end ML systems for retrieval-augmented generation, vector search, and fine-tuning pipelines. They will build and optimize data pipelines, develop frameworks for data extraction and evaluation, and prototype state-of-the-art techniques in semantic search and prompt engineering. Responsibilities also include implementing evaluation strategies, ensuring scalability of ML workflows, and collaborating with data scientists and product teams to translate business problems into ML system designs.

Skills

Machine Learning

Natural Language Processing

Generative AI

Data Pipelines

Model Development

Data Extraction

LLMs

Vector Search

Retrieval-Augmented Generation (RAG)

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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