Senior, ML Engineer - ML Ops Framework
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 within the United States.
This information is not specified in the job description.
Key skills include in-depth understanding of Machine Learning and Deep Learning algorithms, experience designing and training neural networks for applications like motion planning and object detection, proficiency with PyTorch or other Python-based frameworks, advanced software engineering principles, and experience with large datasets.
The role involves working alongside experienced ML engineers and research scientists, with a focus on collaboration, mentoring others, and contributing to self-driving vehicle technology for positive social impact.
A strong candidate has a Masters or PhD in a relevant field or equivalent experience, plus bonus points for PhD in machine learning or computer vision, publications in top conferences, autonomous vehicle experience, and real-world deployment 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.