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EvenUp · 4 months ago

Senior Machine Learning Engineer - LLMs & Document AI

San Francisco, CA

Full-time

Hybrid

Senior Level

$176K/yr - $265K/yr

5+ years exp

EvenUp is on a mission to close the justice gap using technology and AI. They are seeking a Senior Machine Learning Engineer to develop advanced document AI models and solve complex modeling challenges to enhance legal document processing.

Artificial Intelligence (AI)LegalLegal TechMachine LearningSoftware

H1B Sponsor Likely

Responsibilities

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

Qualification

Large Language ModelsMachine LearningDeep LearningReinforcement LearningPythonCollaboration SkillsCommunication Skills

Required

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

Benefits

Choice of medical, dental, and vision insurance plans for you and your family

Additional insurance coverage options for life, accident, or critical illness

Flexible paid time off, sick leave, short-term and long-term disability

10 US observed holidays, and Canadian statutory holidays by province

A home office stipend

401(k) for US-based employees and RRSP for Canada-based employees

Paid parental leave

A local in-person meet-up program

Hubs in San Francisco and Toronto

Company

EvenUp

EvenUp is the leading AI platform for personal injury law.

Founded in 2019

San Francisco, California, USA

201-500 employees

https://www.litty.ai/

H1B Sponsorship

EvenUp has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2025 (13)

2024 (2)

2023 (1)