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Staff Software Engineer - ML Michelangelo

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Uber

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

232000.00 - 258000.00 USD / Year
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Job Description:

About the Role: Partners with stakeholders and leads team efforts to build and maintain Machine Learning backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

Job Responsibility:

  • Partners with stakeholders and leads team efforts to build and maintain Machine Learning backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber
  • Design and build tools to empower production teams to innovate and productionize state-of-the-art deep learning models at Uber
  • Develop and maintain scalable, end-to-end deep learning training systems and frameworks
  • Ensure distributed training tools are reliable, efficient, flexible to use for new production use cases
  • Collaborate with cross-functional teams including machine learning engineers, backend engineers, data scientists, and data engineers to deliver robust ML solutions for Uber

Requirements:

  • Master in relevant fields (CS, EE, Math, Stats, etc.) AND 6-years full-time Software Engineering work experience in deep learning
  • Proficiency in Python and PyTorch
  • Expertise in designing, debugging, and optimizing distributed deep learning systems
  • Working experience of distributed training in PyTorch at Scale (e.g., data parallelism, model parallelism)
  • Strong ability to translate complex DL requirements and problems into scalable solutions

Nice to have:

  • Expertise in distributed training frameworks such as DDP, DeepSpeed, FSDP, or TorchRec
  • Familiarity with C++, Go or CUDA programming
  • Expertise in optimizing GPU/TPU training performance and data loading efficiency
  • Familiarity with large-scale distributed infrastructure tools like Ray, OpenAI Triton, PyTorch Lightning
  • Built and deployed end-to-end machine learning systems in production
  • Experience training large models (10B+ parameters), such as large recommendation systems or large language models (LLMs)
  • PhD in relevant fields (CS, EE, Math, Stats, etc.)
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits (details at link)

Additional Information:

Job Posted:
February 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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