Hiring: ML Infrastructure Engineer Company: Zipline Location: South San Francisco, CA Job Posted Time: 2026-09-10 10:33:45 Target Skills & Keywords : AWS, CloudFormation, Data Pipeline, Deep Learning, Embedded Systems, Feature Store, Kubernetes, PyTorch, Python, Terraform About the job Experience: •3+ years of professional software engineering experience, ideally including ML infrastructure, data infrastructure, robotics, autonomy, aerospace, medical devices, or another safety-critical hardware/product environment. Required Skills: •As an ML Training & Inference Infrastructure Engineer on the Data Platform team you will be building and scaling the systems powering our data flywheel. This person will work at the intersection of autonomy and the infrastructure, owning systems that make ML development faster, reproducible, observable, and safe. •Build and operate software infrastructure that enables learning algorithms to leverage Zipline’s large-scale (quickly growing!) fleet data. •Design scalable, maintainable data and ML infrastructure for autonomy teams, including dataset creation, validation, training, evaluation, and deployment. •Own and improve data pipelines that feed into the ML development loop. •Identify and mitigate bottlenecks in the ML development cycle, especially around orchestration, performance, and reproducibility to increase the rate at which we can improve and scale the delivery experience. Qualifications: •Strong software engineering practices in Python in a production setting; comfort designing APIs, services, schemas, jobs, and operational workflows. •Solid functional working knowledge of ML concepts such as datasets, training, evaluation, optimization, statistics, and modern deep learning workflows. •Generalist mindset and willingness to work across cloud services, data platforms, developer tooling, and embedded/robotics-adjacent constraints. •Strong ownership, clear communication, and interest in building secure systems for mission-critical workflows. •What Else You Need To Know Compensation: •$160,000 - $250,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!