Staff Research Scientist, Harvey
$260-300k
+ Equity
More information about location
Domain-specific AI for legal and professional services
Job no longer available
Domain-specific AI for legal and professional services
501-1000 employees
Job no longer available
$260-300k
+ Equity
More information about location
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- We are looking for individuals with past research experience that are excited about translating research into tangible outcomes and new product experiences
- Candidates should have 4+ years of experience (post-PhD), and must have operated in a Staff, Tech Lead, or Research Lead capacity in your prior work
- Are excited about redefining knowledge work through an AI-native lens
- Can translate open-ended problems into actionable, short-term goals and execute on them aggressively
- Communicate both low-level technical details and high-level strategic plans effectively
- Maintain a high personal velocity
What the job involves
- As a Staff Research Scientist on the Applied Research team at Harvey, you will research and develop improvements to our existing AI systems and design new AI-native features for our customers
- Research Scientists at Harvey wear many hats
- Zero-to-one product development: rapidly prototype, evaluate, and integrate new product features and custom projects for our customers
- Agent primitives: develop (and continuously improve) best-in-class LLM methods for zero-shot dense retrieval, large-scale hybrid semantic search, recursive abstractive document analysis, etc
- Agentic workflows: design and implement LLM agents that use these basic primitives and external tools to deliver high-quality, long-form work outputs
- Evaluation: Create rigorous evaluation protocols combining human preference judgements from domain experts and synthetic data generation
- Custom models: Fine-tune LLMs and domain-specific embeddings models for knowledge work tasks
- Technical leadership: As a Staff Research Scientist, you will technically lead members of our research team in executing large-scale and long-form projects in a given research area
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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