Software Engineer, Machine Learning Tools (MLOps)

The Machine Learning Tools (ML Tools) team is at the heart of our autonomous vehicle development, responsible for creating and managing a sophisticated in-house machine learning ecosystem. Our mission is to build, train, and deploy the models that power our vehicles' intelligence. We work in close collaboration with downstream teams to pioneer and implement cutting-edge deep learning solutions for new and challenging on-road machine learning applications.

Our team is proud to have contributed to significant advancements in the autonomous vehicle industry, including the development of nuPlan , nuScenes, PointPillars, and PointPainting.

Key Responsibilities:

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  Assist in the development and maintenance of our automated, distributed pipeline for training, evaluating, and deploying machine learning models.

  
  


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  Support the design and development of our scalable ML infrastructure, with opportunities to learn and work with technologies like Kubernetes (K8s) and Ray.

  
  


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  Help implement and maintain the metrics infrastructure that allows for model introspection and performance evaluation.

  
  


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  Contribute to the deployment of models to our vehicles and learn to assess their performance using key metrics.

  
  


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  Collaborate with and learn from our Machine Learning teams to improve tools and processes across the entire ML development lifecycle

  
  

Qualifications:

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  Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.

  
  


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  Solid programming skills in Python.

  
  


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  A foundational understanding of deep learning concepts and an eagerness to work with frameworks like PyTorch.

  
  


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  Familiarity with software engineering principles and best practices.

  
  


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  A genuine passion for self-driving technology and a strong desire to learn.

  
  

Highly Desired Experience:

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  Some exposure to PyTorch.

  
  


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  Previous projects or coursework involving the design or training of neural networks.

  
  


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  An introductory understanding of distributed computing concepts; any familiarity with K8s or Ray is a plus.

  
  

Bonus Points:

• Background in autonomous vehicle development.

Additional Notes:

• No Large Language Model (LLM) experience is required.

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.