Machine Learning Engineer, Fulfillment

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-g...

The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distr...

Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions
Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals
Leverage data-driven insights to inform and refine ML strategies and solutions
Write production-level code and participate in code reviews to ensure quality and share knowledge across the team
BS/MS in Computer Science, or a related field
2+ years of experience in machine learning modeling or related fields
Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
Experience with translating state-of-the-art ML research into production systems
Proficiency in Python, Golang, or other programming language
Proven ability to tackle ambiguous problems and deliver solutions at scale
Strong communication and interpersonal skills for effective cross-functional collaboration