Motional

Principal Engineer, ML Training Platform

Remote
USD 175k - 234k
PyTorch TensorFlow AWS GCP Kubernetes Machine Learning Deep Learning Python
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Description

Mission Summary

We are looking for a proactive, collaborative, clear minded Principal Engineer for our ML training platform team. In this role the successful candidate will lead a driven, high visibility team to drive and deliver on key engineering objectives.

As the Principal Engineer you will be the accountable owner of the ML training platform. You will be responsible for developing new cross-functional processes that guide the development of the platform and speed up the ML training and evaluation. You will interact closely with infra engineering, ML team, ML eval/metrics systems. This role gives you high visibility within the company and is critical for successfully launching our autonomous driving software. The ideal candidate leverages a deep technical foundation to focus on Autonomy critical initiatives, understands business priorities, then works to find a way, resolving ambiguity and building consensus to deliver models that improve on-road AV performance.

What You'll Be Doing

  • Design, build and maintain scalable ML data processing, model training solutions in the cloud infra.
  • Perform training and model performance optimization with various GPUs to improve model training speed and efficiency.
  • Execute program with a focus on technical execution to achieve program milestone
  • Actively and proactively manage and mitigate technical risks
  • Leads and continuously develops a high performing team that demonstrates Motional’s core values.
  • Inspire and motivate the team to work together as a cohesive and productive unit.

What We're Looking For

  • 6+ years of Python software development experience. 
  • Hands-on experience with popular ML frameworks (PyTorch or TensorFlow) 
  • Hands-on experience with scaling ML systems
  • Demonstrated problem solving skills and ability to think logically and remove bias from evaluation of problems
  • Excellent programming and software design skills, including debugging, performance analysis, and test design
  • Experience working on and leading large scale cross-functional projects
  • Hands on experience with large cloud infrastructure. Strong cloud experience with AWS/GCP. Strong hands-on experience with Kubernetes.
  • Comfortable working in a fast-paced, continuous delivery environment
  • Strong understanding of machine learning approaches and algorithms
  • Strong verbal and written communication skills to effectively work with various stakeholders, report insights, and rally support towards new initiatives and processes
  • Proven track record of operating highly-available systems at scale
  • Ability to proactively learn new concepts and technology and apply them at work
  • Skilled at solving ambiguous problems
  • Strong collaboration and mentorship skills

Bonus Points

  • Hands-on experience with using Ray in the large scale environment.
  • Hands-on experience with ML data processing with large scale deep learning training.
  • Hands-on experience with refactoring ML code written by ML engineers.

 

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$175,000$234,000 USD

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, Facebook, 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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