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 We are looking for a Research Engineer who can help develop and improve our large-scale search and retrieval systems. In this role, you will: Develop infrastructure for low-latency search and retrieval systems and deal with hard engineering constraints like latency and expensive model inference. Create, index, and maintain large public and private datasets comprised of millions of complex documents. Research and develop novel search and retrieval techniques that combine traditional search, embeddings, and LLMs. Collaborate with researchers to train models and develop agentic workflows that leverage our in-house retrieval algorithms. … and more. 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: 5+ years experience in ML engineering and/or research. At least one year of working experience post-PhD. PhD not required. Google level would be L5-L6: Senior to Staff. Compensation The expected range of compensation for this role is between $190,000 and $265,000. 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. #J-18808-Ljbffr
Senior Research Engineer - Scalable AI Search & Retrieval • San Francisco, CA, United States
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