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Motional

Senior/Principal Machine Learning Engineer - Behaviors

Reposted 2 Days Ago
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Hybrid
Central Singapore
Senior level
Hybrid
Central Singapore
Senior level
Lead R&D initiatives for autonomous vehicles focusing on perception and prediction. Responsibilities include defining team direction, advising on technology solutions, prototyping, deploying solutions, and mentoring engineers. Drive business impact through technological advancements in self-driving capabilities.
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On our Behaviors team, you have the opportunity to work with world-class ML engineers and research scientists whose mission is to make self-driving vehicles a reality and to create positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges,  and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:  

You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

Senior Engineer:

  • Prototype, evaluate, implement, and iterate on solutions
  • Familiar with state of the art solutions and systems for autonomous vehicles
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with team members to achieve project goals and milestones

Principal Engineer:

  • Define and influence the direction of the team, organization, and/or department.
  • Advise leaders on technology problems and solutions
  • Connect and drive business impact through technology solutions 
  • Formulate problems, architect solutions, and design processes
  • Prototype, evaluate, implement, and iterate on solutions
  • Pioneer research into state of the art solutions and systems for autonomous vehicles
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Mentor and grow junior and experienced engineers and researchers
  • Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

  • BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience
  • Experience with PyTorch or other deep learning frameworks
  • Experience working with large data sets and deriving insights from data

Senior Engineer:

  • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
  • Experience mentoring and collaborating with others

Principal Engineer:

  • Effectiveness at leading and executing large, complex technical initiatives 
  • Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

Bonus Points:

  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
  • PhD in machine learning, computer vision, or robotics vision
  • Experience working on autonomous vehicles, or related fields
  • Experience in deploying models into real-world environments
  • Strong programming skills in C++ and/or CUDA programming

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.


Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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