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About the Role

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.

Responsibilities

Advance the core AI platform by designing and implementing novel approaches to reasoning over long-context legal corpora, contract comparison and redlining, information extraction, and automated drafting and editing.
Make AI models trustworthy by conducting research on procedural hallucination detection and resolution, calibration, and explainability.
Push frontier techniques into production by exploring and applying advanced fine-tuning, PEFT, and distillation techniques.
Evaluate emerging work in agentic systems, long-context modeling, and reasoning to identify impactful ideas.
Build the evaluation infrastructure by designing and maintaining datasets, benchmarks, and evals for training and measuring model performance.
Define the metrics that matter for model performance and hold the team accountable.
Ship prototypes from notebook to production in close partnership with Engineering and Product.
Write internal reports that influence the technical direction of the platform.
Present findings to both technical and non-technical audiences across the company.

Requirements

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 (e.g., a paper, shipped system, open-source contribution, competition result, or hard problem solved).
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: shipping rather than perfecting, measuring rather than guessing, and preferring a working prototype today over a polished plan next week.
Publications at top venues (e.g., ML/AI conferences, peer-reviewed journals) or equivalent strong research contributions in industry.
Experience with long-context modeling, retrieval, or grounded generation in high-stakes domains (legal, medical, financial).
Prior work on hallucination detection, calibration, or interpretability.
A track record of building from zero in fast-paced startup or research environments.
You love writing code, but you love impact more.
You're relentlessly resourceful.
You have a strong internal sense of urgency.
You're excited by the adventure of building a company.

Skills

LLMs
Deep Learning
Advanced AI techniques
PyTorch
JAX
TensorFlow
Agentic systems
Reasoning
Parameter-efficient fine-tuning (PEFT)
Quantization
Inference optimization
Hallucination mitigation
Novel architectures in deep learning
Robust evaluation methodology for LLMs
Long-context modeling
Retrieval
Grounded generation

Location

San Francisco

Work Type

Onsite
Full-time

Experience Level

Ph.D. or equivalent industry research experience
Startup experience preferred

Education Level

Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field

Salary/Compensations

Competitive Compensation
Final offer details are determined based on experience, expertise, and overall fit.

Benefits

Equity: Meaningful ownership in a company that's scaling fast
Relocation and Visa Support: Relocation assistance for successful applicants moving to SF, and support for visa and green card applications.
Health & Wellness: Comprehensive medical, dental, and vision plans.
Flexible Spending & Insurance: Access to HSA and FSA accounts, plus life insurance coverage.
401(k) Program
Commuter Benefits
Unlimited PTO
Office Perks: Vibrant Downtown San Francisco office with catered lunch five days a week, premium snacks and coffee, an in-building gym, and a dog-friendly environment.

About the Company

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.
Engineers at Ivo are inventors.
We launched in early access in 2023 and are growing rapidly, having 6x'd in ARR in the last 12 months.
Our clients include companies like Uber, Reddit, IBM, Canva, Pinterest, WordPress, and more.
Startups are very hard, especially if they’re growing fast. You’ll have a ton of responsibility, and there’s always an enormous amount of stuff to do. It’s hard work but the payoff is uncapped.

Equal Opportunity

Ivo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.