Research Engineer
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.
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 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 L5-L6:
Senior to Staff.
#J-18808-Ljbffr Recommended Skills Algorithms Artificial Intelligence Finance Engineering Event Management Indexer Estimated Salary: $20 to $28 per hour based on qualifications.
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.
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 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 L5-L6:
Senior to Staff.
#J-18808-Ljbffr Recommended Skills Algorithms Artificial Intelligence Finance Engineering Event Management Indexer Estimated Salary: $20 to $28 per hour based on qualifications.
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