Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess a BS or MS in Computer Science or a related field, with strong knowledge of software engineering principles. Expertise in Python or Go, experience with AWS services or other Cloud platforms, and familiarity with the ML development lifecycle are required. Strong communication skills are also necessary, and experience with ML frameworks like PyTorch or Ray, as well as Kubernetes, is a strong plus.
The Senior Software Engineer, ML Ops will collaborate with ML engineers and data scientists to understand their needs and develop tools that streamline the ML development lifecycle. They will participate in the design, development, and optimization of core ML infrastructure, leveraging Kubernetes to build robust solutions. Additionally, they will drive best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.
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.