Senior MLOps Engineer
WizardFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The role requires a BS or MS in Computer Science or related field, strong knowledge of software engineering principles, expertise with Python or Go, experience with AWS services or other cloud platforms, and experience with the various stages of the ML development lifecycle. Strong written and oral communication skills are also needed. Experience with Kubernetes, PyTorch, or Ray is a plus.
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Motional emphasizes a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level. The team consists of engineers, researchers, innovators, dreamers, and doers focused on creating safer roadways and equitable transportation with a people-first approach.
Strong candidates will have a BS or MS in Computer Science, expertise in Python or Go, experience with AWS or cloud platforms, and familiarity with the ML development lifecycle. Experience with Kubernetes and ML frameworks like PyTorch or Ray, along with strong communication skills, will stand out.
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.