Intuit is seeking an experienced Machine Learning Engineer to join their AI, Research, and Futures organization. This role combines cutting-edge AI research with practical implementation, focusing on building scalable ML solutions that enhance customer experiences.
The position involves designing and deploying end-to-end ML systems, architecting data pipelines, and ensuring operational excellence through modern MLOps practices. You'll work with a vibrant team of AI Scientists and MLEs, translating research into robust, production-ready systems.
Key responsibilities include building scalable pipelines for data curation and model training, implementing rapid prototypes, and maintaining high standards in reliability and observability. You'll also influence architectural decisions for Intuit's AI platforms and mentor junior engineers.
The ideal candidate should have an MS/Ph.D. in Computer Science with AI/ML focus and 5+ years of experience deploying ML solutions at scale. Strong programming skills in Python/Java/Scala and expertise with AI frameworks like LangChain and LangGraph are essential. Experience with cloud platforms and strong communication skills are crucial.
At Intuit, you'll be part of a company serving over 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp. The company is evolving as a global AI technology leader, with a dedicated organization led by their Chief AI Officer. You'll have access to rich data and production-grade AI platforms, enabling quick translation of research into impactful solutions.
This role offers the opportunity to work at the forefront of AI innovation while contributing to Intuit's mission of powering prosperity for people and communities worldwide. The position combines technical excellence with practical impact, making it ideal for those passionate about applying AI to solve real-world problems at scale.