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Motional

Senior Software Engineer, Machine Learning Tools (MLOps)

Posted 13 Days Ago
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Hybrid
Central Singapore
Mid level
Hybrid
Central Singapore
Mid level
Develop and maintain machine learning infrastructure for evaluating and deploying models while collaborating with various teams to enhance the ecosystem.
The summary above was generated by AI

The Machine Learning Tools (ML Tools) team is responsible for developing and maintaining an advanced in-house machine learning ecosystem designed to build, train, and deploy models. The team collaborates closely with downstream teams to innovate and advance cutting-edge deep learning techniques for novel on-road machine learning applications.

Motional's Machine Learning team has made significant contributions to the autonomous vehicle industry, including the development of nuPlan , nuScenes, PointPillars, and PointPainting.

Key Responsibilities:

  • Support the development and maintenance of an automated, distributed pipeline for training, evaluating, and deploying machine learning models to vehicles.
  • Participate in the design and development of scalable ML infrastructure utilizing K8s and Ray.
  • Implement metrics infrastructure for model introspection and performance evaluation.
  • Deploy models to vehicles and assess their performance using relevant metrics.
  • Work closely with Machine Learning teams to enhance tools and processes throughout the ML development lifecycle.

Qualifications:

  • Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field, with relevant experience.
  • 3+ years of hands-on experience with Python.
  • Familiarity with deep learning frameworks such as PyTorch.
  • Experience with distributed computing frameworks like K8s and Ray.
  • Strong knowledge of software engineering principles.
  • A passion for self-driving technology.

Highly Desired Experience:

  • Proficiency with PyTorch.
  • Experience in designing, training, and deploying neural networks.
  • Solid understanding of K8s and Ray and using them in daily work.

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.

Top Skills

K8S
Python
PyTorch
Ray

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