Machine Learning Engineer
Harvey
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See open jobs at Harvey.See open jobs similar to "Machine Learning Engineer" Cognitive Collective.Software Engineering
San Francisco, CA, USA
Posted on Tuesday, December 19, 2023
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, Meta AI, 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. Google level would be L4-L6.
This job is no longer accepting applications
See open jobs at Harvey.See open jobs similar to "Machine Learning Engineer" Cognitive Collective.