Intern-Machine Learning & Generative AI

Summary

Join EvenUp, a rapidly growing vertical SaaS company, and contribute to our mission of closing the justice gap using technology and AI. We are developing the next generation of document intelligence and conversation automation, pairing cutting-edge large-language-model research with a deep understanding of medical, legal, and insurance workflows. As a key member of a small team, you will research and prototype new approaches in AI, fine-tune models for legal and medical corpora, build autonomous systems, and create evaluation suites. Your work will directly impact live cases, offering immediate and significant contributions. EvenUp provides a supportive environment with mentorship, publication support, and a clear path for career advancement. We are committed to innovation and offer a unique opportunity to push the state of the art in AI and make a real-world difference.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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)

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