Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed 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, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.
Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.
World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: 4x ARR in 2024.
Competitive compensation.
As an Applied AI Engineer on the Engineering team at Harvey, you will own and lead engineering projects across our various product lines. 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.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
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.
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.
Please find our CA applicant privacy notice here.
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!
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As an Applied AI Engineer at Harvey, located in the vibrant tech hub of San Francisco, you'll play a pivotal role in shaping our innovative AI platform specifically designed for legal and professional services. At Harvey, we're not just another tech company; we are an assured AI powerhouse that aims to revolutionize how professionals handle complex workflows. You’ll work alongside a world-class team comprised of experts from top-tier organizations like DeepMind and Google Brain, readily applying your expertise in machine learning to create and implement cutting-edge solutions. Your day-to-day responsibilities will include developing algorithms and experimenting with data to enhance our AI capabilities, particularly in creating streamlined workflows for intricate legal tasks. Here, your input will significantly influence product development, as you rapidly prototype and test new features in close collaboration with our legal associates. If you have prior experience in building impactful, scalable products powered by machine learning, you could fit seamlessly into our team. You'll also be involved in exciting projects like designing systems that evaluate document citations and optimize AI pipelines for complex datasets. Joining Harvey means becoming part of an exciting journey that promises exceptional growth opportunities as we scale our impact in the professional services space. Plus, with generous relocation support, we ensure that you can transition smoothly into your new role. Are you ready to make your mark with us?
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Harvey is a trusted generative AI company headquartered in San Francisco, California. We provide a suite of AI products tailored to lawyers and law firms across practice areas and workflows.
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