Senior MLOps & Data Systems Engineer

As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me.

We are looking for a high-impact Senior MLOps & Data Systems Engineer to help build and scale the core data and machine learning infrastructure for the Lime Vision team. In this role, you will focus on designing and developing the systems and workflows that enable reliable, repeatable, and scalable model development, evaluation, and deployment.

You will work on challenging, real-world problems in micro-mobility—such as tandem riding detection, precision parking validation, and sidewalk riding prevention—by building pipelines that connect data ingestion, annotation, training, evaluation, and deployment into a cohesive, continuously improving system. This role emphasizes data-centric machine learning and end-to-end pipeline ownership, with model performance improvements driven by strong data foundations and robust infrastructure.

This role requires strong expertise in MLOps, data systems, and machine learning infrastructure, with an emphasis on building production-grade pipelines, integrating annotation workflows, and enabling continuous iteration through tight feedback loops between data and models.

You will be part of the Vision team, working closely with applied scientists and cross-functional engineers to build and scale the data and ML systems that underpin model development, deployment, and continuous improvement in diverse and unpredictable real-world conditions.

This is a remote position with a requirement for candidates to reside in the United States to maintain effective collaboration across teams.

What You’ll Do

* ML Pipeline & Data Systems Development: Design, build, and...