Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $180K - $280K.
The role is onsite in San Francisco, CA, utilizing an in-person work model, and offers relocation assistance.
Requirements include 3+ years of experience (post-BS/MS) in an engineering role, experience shipping a scaled and impactful ML-powered product, and experience with the full ML lifecycle including data collection, experimentation, and analysis.
Harvey features a world-class team hiring top talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more, with engineers and researchers partnering directly with OpenAI, emphasizing exceptional product-market fit, strategic investors, and rapid scaling.
Strong candidates have 3+ years of engineering experience, proven track record shipping scaled ML products, and hands-on experience with the full ML lifecycle, particularly in data collection, experimentation, and analysis for impactful AI applications.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.