Senior Data Engineer, ML Infrastructure - Remote

Overview

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

In Short

• Architect and implement robust, scalable data pipelines to process robotics data.
• Build a data processing and egress platform ensuring timely dataset delivery.
• Create data lifecycle policies to control cloud data costs.
• Build data discoverability platform features and maintain search indexes.
• Setup data access audit trails and strong security controls managed through IaC.

Requirements

• 5+ years of professional experience in software or data engineering.
• Strong programming proficiency in Python and SQL.
• Experience building large-scale data processing pipelines using cloud technologies.
• Proficiency with data warehousing and ETL/ELT concepts.
• Solid understanding of system design, data privacy, and security best practices.

Benefits

• Work with a diverse and agile team.
• Impact a new revenue stream through commercialization of robot data.
• Collaborate with ML engineers on cutting-edge ML models.
• Opportunity to work in a fast-paced startup environment.
• Contribute to building the future of robotic deliveries.