Why Harvey

Harvey will be a category-defining company for the application layer built on top of foundation models like GPT-4.

• Exceptional product market fit: multiple multi-million dollar deals with the largest professional service providers (e.g. PwC) and the largest law firms on Earth (e.g. Allen & Overy).

• Massive demand: 15,000 law firms on our waitlist.

• World-class team: ex-DeepMind, Google Brain, FAIR, Tesla Autopilot. Former founding engineers at $1B+ startups like Superhuman and Glean.

• Work directly with OpenAI to build the future of generative AI and redefine professional services.

• Top of market cash and equity compensation.

Challenges

We are building systems that can automate the most complex knowledge work in the world, e.g. billion dollar litigations and corporate transactions.

• Dealing with the most sensitive data in the world: client data from the largest companies in the world.

• Working past the edge of published AI research: tackling problems far beyond the complexity of existing AI benchmarks.

• Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning / training / segregating models per task / legal system / practice area / client and client’s clients.

Role

You will develop and improve our AI systems, including:

• fine-tuning large language models,

• developing model evals,

• developing and implementing novel search and QA algorithms,

• scraping and indexing niche legal datasets,

• developing and evaluating large systems of interconnected LLMs,

• dealing with hard engineering constraints like latency and expensive model inference,

… and more.

Impact

• Work directly with our founders, legal and research teams, and OpenAI.

• Tackle unsolved research and engineering problems, including the hardest in the world relevant to LLMs in production.

• Help build our applied research organization.

Qualifications

Evidence of exceptional ML engineering ability.

• Publications in top AI conferences.

• Experience at elite AI research labs (OpenAI, Google Brain, DeepMind).

• Experience working in complex and high-stakes ML domains (self-driving cars, search, ads, quant finance).

• Experience with LLMs or legal is not required.

Experience

• 3-5+ years experience in ML engineering.