Senior Machine Learning Engineer- Trajectory Generation

Reposted 8 Days Ago
Hiring Remotely in U.S.
Remote or Hybrid
168K-225K Annually
Senior level
Artificial Intelligence • Automotive • Machine Learning • Transportation
Join us as we make driverless vehicles a safe, reliable, and accessible reality.
The Role
Develop and optimize deep learning models for trajectory generation in autonomous vehicles, focusing on planning, control, and real-time inference.
Summary Generated by Built In

We are looking for a Senior Machine Learning Engineer to develop and optimize deep learning models that advance the state of the art in data-driven planning and control for autonomous driving. You will design, implement, and deploy machine learning systems for real-time trajectory generation in autonomous vehicles. This role involves solving challenging planning and control problems in resource-constrained, on-vehicle environments.

What You Will Work On
  • Research, design, implement, optimize and deploy deep learning models that advance the state of the art in data-driven control algorithms for trajectory and path generation. 
  • Designing reward functions to improve vehicle behavior.
  • Developing tools and metrics to analyze system errors and measure performance improvements
  • Optimizing model and system performance for real-time inference
  • Participating in code and design reviews
Minimum Qualifications
  • Master’s or Ph.D. in Robotics, Computer Engineering, or a related field
Required Skills
  • Proficiency in both C++ and Python
  • Strong understanding of trajectory optimization, reinforcement learning algorithms and imitation learning
  • 4+ years of experience in designing, training, and deploying ML models
  • Self-motivated with strong problem-solving skills
  • Eager to stay current with emerging technologies and committed to continuous learning.
  • Conference or Journal publications in Machine Learning or Robotics-related venues
Bonus Points
  • Experience with autonomous driving applications in areas such as perception, prediction, planning, or simulation
  • Experience with CUDA and inference optimization for real-time systems
  • Publications in reinforcement learning (RL), inverse reinforcement learning (IRL), optimal control, or robotics

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
$168,000$225,000 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, 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

C++
Cuda
Python
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The Company
Santa Monica, CA
765 Employees
Year Founded: 2020

What We Do

Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, 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 most-established public robotaxi fleet. Strategically formed by Hyundai Motor Group, one of the world’s largest vehicle manufacturers offering smart mobility solutions, and Aptiv, a global technology leader in advanced safety, electrification, and vehicle connectivity, Motional is fundamentally changing how people move through their lives.

Why Work With Us

Our leadership team has been working in this industry for decades and includes renown early innovators in driverless technology. We are creating a future where transportation is safe, reliable, and accessible. Join our team in revolutionizing the industry that will change how the world moves.

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