We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OVERVIEW ABOUT THE ROLE We are hiring an engineering manager to lead Machine Learning Engineers working on Personalization & Recommendation. The team applies innovative techniques to model customers’ interests. Our algorithms impact every surface of the Instacart app, improving the relevance of ranking and the end-to-end customer experience on Instacart. ABOUT THE TEAM The team supports the mission of building a store that knows customers and evolves as they shop. Our team builds Instacart’s Taste Graph to understand customer interests and trains ranking models to power all of Instacart’s recommendation surfaces: Storefront, Finish My Cart, Did You Forget?, Need Anything Else?, Browse, Deals Tab, and more. The team also predicts availability of items and the best replacement items, so that we recommend items with the best probability of successful fulfillment and a phenomenal customer experience. We are a rapidly growing team with strong real-world customer impact. ABOUT THE JOB You will drive organization-wide initiatives using machine learning and data-driven approaches to improve customer satisfaction and Instacart’s business. You will recruit and manage a team of machine learning engineers and scientists. You will use your machine learning experience and knowledge of recommender system techniques to guide improvements to our machine learning models. You will create the roadmap for the ranking problems your team works on and will prioritize the work that best aligns with customer impact and business objectives. You will work closely with engineers, product managers, other teams, and both internal and external partners, leading a large part of the process from problem understanding to shipping the solution. ABOUT YOU MINIMUM QUALIFICATIONS 7+ years of proven experience using data-driven approaches to solve real-world problems. Demonstrated leadership, and successful recruiting experience. Expertise in machine learning for search optimization, discovery driven recommendations, or advertising optimization. Expertise with deep learning methods and their practical application at scale. Extensive experience building scalable machine learning systems and data-driven products working with multi-functional teams. Strong programming skills, and experience in Python, data manipulation (SQL, Spark, Pandas), and popular machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow) or equivalent experience. Preferred qualifications A graduate degree in artificial intelligence, machine learning or equivalent self-study and experience. A history of customer impacts in recommendation, personalization, and/or predictive modeling. #LI-RemoteAccommodations & Accessibility At Instacart, we strive to create an accessible and inclusive experience for all candidates. If you need assistance submitting an application through our career site due to a disability, please submit an Accommodations Request Form and someone from our team will reach out soon to see how we may be able to assist.