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Remote Machine Learning Government Jobs in Nevada

Motional

Staff Machine Learning Engineer

Las Vegas, NV · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Maximus

AI/ML Software Developer

Las Vegas, NV · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Government operational systems - Prepares and structures data for machine learning pipelines ...

Maximus

AI/ML Software Developer

Sparks, NV · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Government operational systems - Prepares and structures data for machine learning pipelines ...

Maximus

AI/ML Software Developer

Carson City, NV · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Government operational systems - Prepares and structures data for machine learning pipelines ...

Maximus

AI/ML Software Developer

Henderson, NV · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Government operational systems - Prepares and structures data for machine learning pipelines ...

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Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 17 days ago

Job description

Mission Summary:

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.

What you'll be doing:

  • 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.

We encourage 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.

Apply