Ph.D.  Intern – Machine Learning & Generative AI

Job Description:

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

We are inventing the next generation of document intelligence and conversation automation. Our platform pairs cutting‑edge large‑language‑model research with a deep understanding of medical, legal, and insurance workflows to unlock tasks that—until now—had almost zero automation. Think: auto‑triaging thousands of pages of medical records for a personal‑injury case in seconds, at scale. Because the generative‑AI frontier moves daily, we operate like an applied‑research lab: rapid pilots, direct user feedback, and a short path from idea to production. You’ll join a small team of distinguished engineers, AI researchers, and legal experts. Your mandate: push the state of the art and ship. Expect to prototype novel methods on Monday, validate with real case data by Friday, and see your code in the product a month later.

What You’ll Do

• Research & Prototype Design and evaluate new approaches in retrieval‑augmented generation, tool‑use agents, multimodal LLMs, or self‑supervised document representation—whichever unlocks the next pain‑point for our users.

• Domain Adaptation Fine‑tune and align models to the quirks of long, jargon‑dense medical/legal corpora (ICD codes, CPTs, deposition transcripts, insurance clauses).

• Agentic Systems Build and benchmark autonomous chains that decide when to call OCR, which precedents to cite, or how to interview a claimant—all with safety and auditability baked in.

• Measurement & Safety Create eval suites for factuality, legal soundness, and bias. Propose mitigations where gaps appear.

• Publish & Share If your work advances the field, we’ll support conference submissions—credit where credit is due.

Minimum Qualifications

• Pursuing a Ph.D. in CS, ECE, Statistics, or related field with a research focus in ML / NLP / Generative AI.

• Strong grasp of modern LLM architectures (transformers, attention variants), training/fine‑tuning pipelines (LoRA, PEFT, RL‑HF), and evaluation methods.

• Fluency in Python.

• Demonstrated ability to turn research ideas into working prototypes (open‑source projects, or industry experience).

• Intellectual curiosity, rapid learning loop, and the grit 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 with long‑context or multimodal models.

• Familiarity with vector databases, RAG orchestration, or document triage pipelines (OCR, layout parsing).

What You’ll Gain

• Impact on Day 1 – Your code runs on live cases, not in a sandbox.

• Mentorship – Weekly 1‑on‑1s with our Head of AI and access to attorneys for domain deep‑dives.

• Publication Support – Travel stipend and legal review for papers or posters.

• Conversion Path – High‑performing interns are first‑in‑line for full‑time research scientist or ML engineer offers.

This is a paid internship and compensation is determined by a number of factors from location, research and impact.

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:

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

• Flexible paid time off

• 10 US observed holidays, and Canadian statutory holidays by province

• A home office stipend

• 401(k) for US-based employees

• Paid parental leave

• Sabbatical program

• A meet-up program to get together in person with colleagues in your area

• Offices in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

About EvenUp:

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.