Senior, ML Engineer - Offline Perception
Torc RoboticsFull Time
Senior (5 to 8 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 in-depth understanding of Machine Learning and Deep Learning algorithms, experience in designing neural networks for perception tasks like object detection and tracking, proficiency with TensorFlow or PyTorch, fluency in Python, and a proven track record in perception systems for autonomous vehicles.
The Perception team consists of world-class ML engineers and research scientists focused on self-driving vehicles, offering a fast-paced environment where engineers thrive on intellectual challenges, collaborate across teams, and pursue career growth.
Strong candidates have a Master's or Ph.D. in a relevant field, demonstrated leadership in complex technical initiatives, experience in perception for autonomous systems, and excellent communication skills, with bonus for embedded systems 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.