Staff Machine Learning Scientist
Flock SafetyFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include 3+ years architecting large-scale distributed systems, experience deploying VLMs or vision encoders like CLIP in production, cloud services like AWS S3/Athena/RDS, solid software engineering principles, and fluency in Python.
The Data Mining team develops billion-scale data workflows and algorithms to mine data from the fleet, identifying model errors, anomalies, and rare driving scenarios for training and validating core ML products in autonomous driving.
A strong candidate has a BS in computer science or equivalent, 3+ years in large-scale systems, production experience with VLMs/vision encoders and cloud services, plus fluency in Python and strong software engineering practices; bonus for advanced degrees, ML techniques, PyTorch, A/B testing, or ML lifecycle experience.
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.