[Hiring] Ph.D. Intern – Machine Learning & Generative AI @Evenup
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Role Description
This role involves research and prototyping in the field of generative AI, specifically aimed at improving outcomes for personal injury victims.
- Research & Prototype: Design and evaluate new approaches in retrieval-augmented generation, tool-use agents, multimodal LLMs, or self-supervised document representation.
- 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.
- Measurement & Safety: Create eval suites for factuality, legal soundness, and bias; propose mitigations where gaps appear.
- Publish & Share: Support conference submissions if your work advances the field.
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.
Requirements
- 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.
- 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.