AI Researcher

Responsibilities

• You'll own a research roadmap end-to-end: identifying the right problems, designing experiments, prototyping, and shipping the winners into production alongside the engineering team. Concretely, that looks like:
• Advance the core AI platform. Design and implement novel approaches to the problems at the heart of Ivo's product: reasoning over long-context legal corpora, contract comparison and redlining, information extraction, and automated drafting and editing.
• Build the evaluation infrastructure. Design and maintain datasets, benchmarks, and evals for training and measuring model performance on complex legal text. Define the metrics that matter, and hold the team to them.
• Ship. Partner closely with Engineering and Product to take prototypes from notebook to production, write internal reports that influence the technical direction of the platform, and present findings to both technical and non-technical audiences across the company.

Requirements

• Required:
• A Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related
• quantitative field - or equivalent industry research experience with a comparable track
• record.
• Evidence of exceptional ability - a paper, shipped system, open-source contribution,
• competition result, or hard problem you cracked that puts you meaningfully ahead of
• your peers.
• Deep, hands-on experience in deep learning research and development, particularly with
• LLMs. Strong working knowledge of modern frameworks (PyTorch, JAX, or TensorFlow)
• and the surrounding open-source ecosystem.
• Expertise in at least one of: agentic systems, reasoning, parameter-efficient fine-tuning
• (PEFT) methods, quantization, inference optimization (e.g., speculative decoding),
• hallucination mitigation, novel architectures in deep learning, or robust evaluation
• methodology for LLMs.
• Excellent communication skills, with the ability to articulate complex research findings
• clearly to both technical and non-technical audiences.
• A bias toward action: you ship rather than perfect, you measure rather than guess, and
• you'd rather have a working prototype today than a polished plan next week.
• Publications at top venues - e.g., ML/AI conferences (NeurIPS, AAAI, ICML, ICLR), or
• peer-reviewed journals in adjacent quantitative fields (Journal of Computational Physics,
• SIAM journals, Journal of the ACM, Nature, Science, PNAS) - or equivalent strong
• research contributions in industry.
• Experience with long-context modeling, retrieval, or grounded generation in high-stakes
• domains (legal, medical, financial).
• Prior

Additional Information

Why Ivo? Every civilization runs on the same infrastructure: agreements between people who don't fully trust each other. Sumerians pressed them into clay. Romans carved them into stone. We bury them in 80-page PDFs. The way those agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything. We're building the AI that finally changes that. Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify. We recently raised our Series B and have grown 800% over the last 12 months. Engineering at Ivo Engineers at Ivo are inventors. Ivo was first-to-market with: An AI agent that lives in MS Word and edits the document for you [2023] Ditching imprecise embeddings models in favor of agentic RAG [2023] Large-scale LLM-based legal fact extraction [2024] A legal assistant that can search large contract databases without sacrificing accuracy [2024] Clustering legal documents descended from the same family [2025] Automatic deviation analysis to locate buried risk in huge contract databases [2025] Merging contracts with their amendments to produce a time series of "composite" contracts (a customer actually cried when we showed her this) [2025] The Role: Why, What, and Who Why AI Researchers are the engine of innovation at Ivo. You'll push the state of the art in applying LLMs, deep learning, and advanced AI techniques to the unique and high-stakes challenges of the legal domain - where accuracy, explainability, and robustness aren't nice-to-haves, they're the product. Your research will translate directly into features that redefine how legal professionals work. This isn't an academic role. It's a chance to see your research fundamentally change an industry.

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