Principal / Staff Machine Learning Engineer

Key Skills

Aartificial intelligence, Algorithms, Large Language Models - LLMs, Machine learning techniques, Teamwork

Job Description

Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:

• Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world like A&O, PwC, and many others.

• Strategic investors: Raised over $100 million from strategic investors including Sequoia, Kleiner Perkins, and the OpenAI Startup Fund.

• World-class team: Harvey is hiring the best technical and non-technical talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, Glean, etc.

• Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.

• Value: Top of market cash and equity compensation.

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:

• 7+ years experience in ML engineering. Google level would be L4-L6.

Compensation

The expected range of compensation for this role is between $260,000 and $325,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.