Staff Research Engineer, Harvey
$260-280k
+ Equity
More information about location
Generative AI for legal teams
Job no longer available
Generative AI for legal teams
201-500 employees
Job no longer available
$260-280k
+ Equity
More information about location
201-500 employees
Company mission
To help build the future of professional services.
Role
Who you are
- Candidates should have 7+ years of experience (post-BS/MS) in an ML research/engineering role
- Candidates should have prior experience in a Staff Machine Learning Engineer or Staff Research Engineer role, with tech lead or tech lead-manager responsibilities
- 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
- This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees
What the job involves
- Research Engineers 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 Engineer, you will technically lead members of our research and engineering teams in executing large-scale and long-form projects in given research, engineering, and product areas
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 Gen 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 will be 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
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Jul 2024
$100m
SERIES C
Dec 2023
$80m
SERIES B
Total funding: $206.1m
Company benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Winston Weinberg
(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
(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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