Ph.D.  Intern – Machine Learning & Generative AI

Job Description

Employment Type: Full-Time Location Type: Remote Salary: [Salary information not provided]

Company Overview

EvenUp is a rapidly growing generative AI startup dedicated to leveling the playing field for personal injury victims. Our products empower law firms to achieve faster settlements, higher payouts, and better outcomes for clients involved in cases ranging from motor vehicle accidents to child abuse. We are pioneering the next generation of document intelligence and conversation automation by combining cutting-edge large-language-model research with a deep understanding of medical, legal, and insurance workflows. Our platform automates complex tasks, such as triaging thousands of pages of medical records for personal injury cases in seconds. Operating as an applied-research lab, we prioritize rapid pilots, direct user feedback, and a swift path from idea to production. You will join a select team of distinguished engineers, AI researchers, and legal experts, with the mandate to push the state of the art and ship impactful solutions. Expect to prototype novel methods, validate with real case data, and see your code integrated into the product within a month.

What You'll Do

• Research & Prototype: Design and evaluate novel approaches in areas such as retrieval-augmented generation, tool-use agents, multimodal LLMs, or self-supervised document representation to address user pain points.
• Domain Adaptation: Fine-tune and align models to effectively process long, jargon-dense medical and legal corpora, including ICD codes, CPTs, deposition transcripts, and insurance clauses.
• Agentic Systems: Build and benchmark autonomous chains capable of making decisions on tasks like OCR execution, precedent citation, or claimant interviews, with a focus on safety and auditability.
• Measurement & Safety: Develop evaluation suites to assess factuality, legal soundness, and bias in AI models. Propose and implement mitigation strategies for identified gaps.
• Publish & Share: We support conference submissions for work that advances the field, ensuring proper credit is given.

Minimum Qualifications

• Currently pursuing a Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, or a related field with a research focus in Machine Learning, Natural Language Processing, or Generative AI.
• Strong understanding of modern LLM architectures (e.g., transformers, attention variants), training/fine-tuning pipelines (e.g., LoRA, PEFT, RL-HF), and evaluation methodologies.
• Proficiency in Python.
• Demonstrated ability to translate research ideas into functional prototypes, evidenced by open-source projects or industry experience.
• Possess intellectual curiosity, a capacity for rapid learning, and the resilience to thrive in an ambiguous, 0-to-1 environment.

Nice-to-Haves

• Experience with agent frameworks (e.g., LangGraph, AutoGen) or building tool-using LLM agents from scratch.
• Hands-on experience with long-context or multimodal models.
• Familiarity with vector databases, RAG orchestration, or document triage pipelines (including OCR and layout parsing).

What You'll Gain

• Impact on Day 1: Your contributions will be deployed on live cases, not confined to a sandbox.
• Mentorship: Receive weekly 1-on-1 guidance from our Head of AI and gain access to attorneys for in-depth domain knowledge.
• Publication Support: Benefit from a travel stipend and legal review for papers or posters.
• Conversion Path: High-performing interns are prioritized for full-time Research Scientist or ML Engineer positions.

This is a paid internship. Compensation is determined by various factors including location, research contributions, and overall impact.

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties impersonating our recruiting team. Please be advised that we have no affiliation or connection to these situations. We exclusively post open roles on our official careers page (evenuplaw.com/careers) or reputable job boards such as our official LinkedIn or Indeed pages. All official EvenUp recruitment communications will originate from the following email domains: @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, or no-reply@ashbyhq.com.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you are interested in a role, please submit your application through the official channels.