ML Systems Engineer - High-Performance Distributed Training

Motional

Boston (MA)

Hybrid

USD 144,000 - 192,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, and vision insurance
401k with company match
Life insurance
Pet insurance

Job summary

Motional is seeking a Machine Learning Systems Engineer to join our ML Acceleration team in Boston. In this role, you'll enhance core systems enabling researchers to train models effectively by optimizing performance, reliability, and throughput.

The ideal candidate will possess a degree in Computer Science, with strong Python and hands-on experience in PyTorch. This position allows for a hybrid work schedule, furthering collaboration while supporting a flexible work environment.

Qualifications

  • Strong proficiency in Python programming language.
  • Experience with PyTorch and optimizing model execution.
  • Bachelor's, Master's, or PhD in Computer Science or related field.

Responsibilities

  • Utilize profiling tools to identify performance bottlenecks.
  • Optimize distributed training pipelines with PyTorch frameworks.
  • Develop high-performance GPU kernels for ML workloads.

Skills

Python
Performance Profiling
Distributed Training
Machine Learning Concepts
Problem Solving

Education

Bachelor’s, Master’s degree, or PhD in Computer Science or related discipline

Tools

PyTorch
Nsight
Triton
CUDA

Job description

Motional is seeking a Machine Learning Systems Engineer to join our ML Acceleration team in Boston. In this role, you'll enhance core systems enabling researchers to train models effectively by optimizing performance, reliability, and throughput.

The ideal candidate will possess a degree in Computer Science, with strong Python and hands-on experience in PyTorch. This position allows for a hybrid work schedule, furthering collaboration while supporting a flexible work environment.

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