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Staff Software Engineer - AI Platform (Michelangelo)

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Staff Software Engineer - AI Platform (Michelangelo)

3 weeks ago Be among the first 25 applicants

Join to apply for the Staff Software Engineer - AI Platform (Michelangelo) role at Uber

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.

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.
What the Candidate Will Do ----

• 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.
  

Basic Qualifications

• 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.
  

Preferred Qualifications

• 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.)
  

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

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