Applied AI Engineer, Harvey

• We are looking for individuals who have worked across the stack on incredible products and have experience building products where machine learning models are a core component
• 3+ years of experience (post-BS/MS) in an engineering role
• Experience with shipping a scaled and impactful product powered by machine learning: how to use offline datasets, online experiments, and recent research to build simple and high performance systems. Prior experience with LLMs and retrieval pipelines is not required
• Track record of shipping reliable products and a strong attention to detail
• Experience building backend platforms that can support multiple product lines
• Grit - experience working at early-stage startups is a plus

• As an Applied AI Engineer on the Engineering team at Harvey, you will own and lead engineering projects across our various product lines
• Conduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines
• Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our legal team
• Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism
• Partner with our legal team to design and implement a method for evaluating the correctness of document citations. Use this to build a large dataset of ground-truth citations and then improve our core citation algorithm. You can read about some of our work on evaluation and citations here (1, 2, 3)
• Make targeted improvements to our RAG pipelines to improve answer quality for user questions over corpuses of complex data, like massive banks of spreadsheets or Japan’s tax code
• Design and build systems that leverage state-of-the-art LLMs from multiple model providers, including custom models
• Work across the stack and with our legal team to create seamless multi-step AI workflows for complex legal tasks, like corporate merger due diligence

• Comprehensive health, dental and vision coverage
• Retirement benefits (401k match up to 4%)
• Flexible PTO

Total funding: $506.1m

The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies Gen AI that can assist with documentation, as well as aid research and optimize workflows.