Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is hybrid.
Required skills include 15+ years of software engineering experience with architecture-level ownership in ML or data infrastructure, strong knowledge of Linux systems, Python, and C++ or similar performance-oriented languages, plus experience in distributed storage, data pipelines, and hybrid environments like bare metal, HPC, and public cloud.
This is a mission-critical leadership role within the ML & Data Platform team, involving collaboration with 100+ engineers and researchers across autonomy teams, ML engineers, autonomy researchers, data engineers, and DevOps.
A strong candidate has 15+ years of software engineering experience with architecture ownership in ML or data infrastructure, proven platform design for large-scale ML workloads, deep data expertise, and experience in hybrid environments; preferred experience in robotics, autonomous vehicles, or safety-critical domains.
Develops fully driverless robotaxis for urban transport
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.