Principal Machine Learning Engineer
Motion Planning
Confirmed live in the last 24 hours
Motional

1,001-5,000 employees

Designer & manufacturer of AVs
Company Overview
Motional is making driverless vehicles a safe, reliable, and accessible reality. The company is commercializing a world-class driverless system that is building the future of the automotive industry.
AI & Machine Learning
Robotics & Automation

Company Stage

N/A

Total Funding

$165.5M

Founded

2020

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

2%

2 year growth

29%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Pytorch
CategoriesNew
AI & Machine Learning
Requirements
  • Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field
  • 7+ years of software development experience
  • 5+ years of C++ software development experience preferred
  • Experience designing, training, analyzing, and deploying neural networks with PyTorch or other deep learning frameworks
  • Experience owning and leading technical development on features from problem formulation through implementation and deployment
  • Thirst for knowledge and continuous innovation
Responsibilities
  • Lead the effort of cutting-edge motion planning systems with Machine Learning and optimization-based methods.
  • Lead and develop a variety of algorithms for planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision-making under uncertainty.
  • Lead and develop core deep learning algorithms for efficient training and testing pipelines.
  • Use your top-notch software development expertise to inspire others to develop better software practices and principles.
  • Design and build a robust and scalable codebase that enables rapid exploration and evaluation of different motion planning approaches and algorithms.
  • Interface with perception and prediction components upstream and trajectory optimization and tracking & control components downstream
  • Refine and improve the data-driven model according to the performance of AV in real-world complex environment
  • Deploy solutions directly to an autonomous vehicle and analyze their impact
  • Provide a vision for the team and our system—guide and mentor junior team members to develop a culture of product-focused engineering, research, and development.