Principal Machine Learning Engineer
Mission Lane- Full Time
- Junior (1 to 2 years)
Candidates should possess 5+ years of professional experience as a data engineer or data pipeline engineer, holding a Bachelor’s or Master’s degree in Computer Science or a related field, and demonstrating expertise in Python programming along with proficiency in AWS services such as EKS, Lambda, and ETL. Experience with distributed system design and development, and leading projects from end to end is also required.
As a Principal Engineer and Team Lead, you will be responsible for leading and mentoring a team of engineers, managing timelines and project commitments, collaborating with users and stakeholders to align product design and execution, designing and building scalable data processing and access pipelines using cloud ETL technology, implementing self-service data pipelines, writing high-quality code to process large datasets, leading system design and quality code reviews, and championing technical contributions. You will also take ownership of mentoring engineers and working in a fast-paced, continuous delivery environment.
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.