Software Infrastructure Engineer, ML Ops - 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 ML infrastructure, such as sensor data ETL pipelines, hard example data mining, continuous training pipelines, annotation platform, etc.
• Develop MLOps system for managing lifecycle of ML cloud training and inference as a service pipelines.
• Work together with ML engineers, design metrics for ML tasks to mine sensor data of interest.
• Design and implement algorithms, such as collaborative filtering, active learning, etc.
• Work with annotation provider on setting up the annotation process, quality control and feedback loops.
• Make sensor data and its derivatives widely discoverable and accessible for Robotics Engineers.

Requirements

• BS in computer science with focus in data engineering and large scale ML systems.
• 3+ years of industry experience building, running and improving large-volume ML training and validation pipelines.
• Experience with building native cloud applications.
• Experience building large scale data processing pipelines in production.
• Proficient in at least one of the following languages: C++, Python, or Go.
• Hands-on experience and good knowledge of Computer Vision and Deep Learning.
• Strong tendency to automate own and others’ workflows.

Benefits

• Opportunity to work on cutting-edge technology in robotics and machine learning.
• Collaborative and diverse work environment.
• Flexibility in work arrangements.
• Contribute to meaningful projects that impact local businesses and communities.