Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, with strong programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, statistical analysis, and large-scale data processing with distributed computing technologies is essential, along with strong communication and software development skills.
The Senior Data Engineer will collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for autonomous vehicle performance validation. They will research and develop new large-scale data analysis systems, own data analysis workflows to identify impacts of ML and software changes, build high-quality datasets for ML products, and provide statistical analysis on model performance through error and change analysis.
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.