Machine Learning Systems Engineer

Performance Profiling & Optimization

• Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication.
• Implement optimizations like kernel fusion, sharding, and tiling to improve step time.

Distributed Training

• Optimize distributed training pipelines using frameworks such as PyTorch Distributed.

Kernel Development

• Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.

Data Pipeline Engineering

• Optimize robust data loading pipelines that maximize training throughput.

What we're looking for

• Education: Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Software Engineering: Strong proficiency in Python.
• ML Frameworks: Extensive hands-on experience with PyTorch.
• ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
• Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

About the role

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

Schedule

We offer a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Pay

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.

Benefits

• Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality.
• We are committed to creating an inclusive environment for all employees.
• We are driven by something more. Our journey is always people first.
• We are creating first-of-its-kind technology that will transform transportation.
• We are designing for everyone in our cities and on our roads.
• We are committed to 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.
• We are fundamentally changing how people move through their lives.
• We are driven to scale; we are moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
• We are a joint venture between Hyundai Motor Group and Aptiv.
• We are headquartered in Boston.
• We are operating in the U.S and Asia.

Contact

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