ML Systems Engineer

3 weeks ago


Annapolis, Maryland, United States META Full time

About the Role

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We are seeking a skilled ML Systems Engineer to join our team at Meta, where you will play a critical role in developing a comprehensive AI Compiler strategy for training & serving new DL/ML model architectures with auto-tuned high performance for production environments across specialized hardware architectures.

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You will work on core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels and tooling to accelerate machine learning workloads on current & next generation of MTIA AI hardware platforms. You will collaborate closely with AI researchers to analyze deep learning models and lower them efficiently on MTIA hardware.

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In addition, you will partner with hardware design teams to develop compiler optimizations for high performance. Your expertise in software development, particularly in C/C++ programming skills, will be invaluable in this role.

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Responsibilities

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  • Develop a robust SW stack with one of the following core focus areas: AI frameworks, compiler stack, high-performance kernel development, and acceleration onto next-generation hardware architectures.
  • Contribute to the development of industry-leading PyTorch AI framework core compilers to support new state-of-the-art inference and training AI hardware accelerators and optimize their performance.
  • Analyze deep learning networks and implement compiler optimization algorithms.
  • Collaborate with AI research scientists to accelerate the next generation of deep learning models, including Recommendation systems, Generative AI, Computer vision, NLP, etc.
  • Perform performance tuning and optimizations of deep learning frameworks and software components.

Requirements

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  • Proven experience in AI framework development or accelerating deep learning models on hardware architectures.
  • A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; or a Master's degree in Computer Science, Computer Engineering, relevant technical field, and 2+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Knowledge of GPU, CPU, or AI hardware accelerator architectures.
  • Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT, or AI high-performance kernels: CUDA programming, OpenMP / OpenCL programming, or AI hardware accelerator kernel programming.

Compensation and Benefits

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The estimated annual salary for this role is $140,000-$170,000 + bonus + equity + benefits.

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Please note that these figures are estimates and may vary based on individual qualifications and location.

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META offers a range of benefits, including competitive salaries, bonuses, equity, and comprehensive benefits packages.

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About META

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Meta participates in the E-Verify program in certain locations, as required by law.



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