Software 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

• Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ML feature extraction.
• Build and improve our active learning pipelines.
• Ensure the scalability of our training jobs and inference endpoints.
• Develop and maintain our orchestration and scheduling systems.
• Collaborate with autonomy engineers to build new features for our autonomy data platform.
• Build integrations with annotation providers.
• Develop infrastructure components using Infrastructure as Code.
• Implement CI/CD processes to streamline ongoing development.
• Develop monitoring and alerting frameworks for platform reliability.
• Work with the data team to ensure SLAs around data quality and availability.

Requirements

• BS or MS in computer science (or equivalent work experience) with focus in data engineering and machine learning.
• 2+ years of industry experience developing big data processing and/or machine learning pipelines.
• 1+ years of hands-on experience with cloud platforms (AWS/GCP/Azure).
• Proficient in Python.
• Solid understanding of system design fundamentals and distributed computing concepts.

Benefits

• Collaborative and respectful work environment.
• Opportunity to work on cutting-edge technology in robotics and machine learning.
• Flexible work hours and the possibility of remote work.
• Growth opportunities within a rapidly expanding company.
• Engagement in solving real-world problems.