Uber
Staff Software Engineer - AI Platform (Michelangelo)
Join to apply for the
Staff Software Engineer - AI Platform (Michelangelo)
role at
Uber 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 https://www.uber.com/careers/benefits., 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 https://www.uber.com/careers/benefits. 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 Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Staff Software Engineer” roles.
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Join to apply for the
Staff Software Engineer - AI Platform (Michelangelo)
role at
Uber 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 https://www.uber.com/careers/benefits., 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 https://www.uber.com/careers/benefits. 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 Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Staff Software Engineer” roles.
Senior Software Engineer - Customer Care
Seattle, WA $135,000.00-$246,500.00 2 days ago Sr. Staff Software Engineer, Payroll and Tax
Seattle, WA $191,000.00-$275,000.00 1 month ago Senior SWE – Front End – Budget Specialization
Bellevue, WA $124,900.00-$228,900.00 2 weeks ago Sr. Software Engineer, Workday HCM (Hybrid - Seattle, WA)
Bellevue, WA $134,000.00-$241,900.00 6 days ago Staff Software Engineer, Demand Engineering - Slack
Seattle, WA $184,000.00-$334,600.00 1 week ago Staff Software Engineer, Demand Engineering - Slack
Bellevue, WA $184,000.00-$334,600.00 1 week ago Redmond, WA $163,000.00-$331,200.00 5 days ago Staff Software Engineer, Credit Card & SoFi Money
Seattle, WA $153,600.00-$264,000.00 1 week ago Seattle, WA $151,300.00-$261,500.00 1 week ago Sr. Staff Software Engineer, Payroll and Tax
Greater Seattle Area $191,000.00-$275,000.00 5 days ago Bellevue, WA $204,000.00-$259,000.00 2 weeks ago Senior Staff Software Engineer - Core HR Product
Seattle, WA $96,800.00-$251,600.00 2 weeks ago Senior Technical Sourcer - Software Engineering (Contract)
Senior Software Engineer - Responsible AI
Redmond, WA $119,800.00-$258,000.00 6 days ago Sr Software Development Engineer, Global Realty Technology
Bellevue, WA $151,300.00-$261,500.00 2 weeks ago Senior Avionics Software Engineer - New Shepard
Seattle, WA $157,053.75-$239,127.00 1 week ago Senior Software Developer, Sponsored Products Demand Identification and Optimization, Sponsored Products Ads
Seattle, WA $151,300.00-$261,500.00 1 week ago Sr. Principal Software Engineer, Last Mile Delivery Tech , Delivery Technology Org (DTO)
Seattle, WA $212,000.00-$340,000.00 4 days ago Bainbridge Island, WA $10,442.00-$13,094.00 1 month ago Senior Software Engineer, Fullstack (Quip)
Seattle, WA $184,000.00-$276,100.00 1 month ago Redmond, WA $119,800.00-$258,000.00 6 days ago Seattle, WA $200,000.00-$360,000.00 21 hours ago Redmond, WA $119,800.00-$258,000.00 6 days ago Redmond, WA $119,800.00-$258,000.00 5 days ago Redmond, WA $119,800.00-$258,000.00 6 days ago Seattle, WA $148,800.00-$274,600.00 1 week ago Redmond, WA $139,900.00-$304,200.00 6 days ago Redmond, WA $119,800.00-$258,000.00 6 days ago Redmond, WA $117,200.00-$250,200.00 6 days ago Redmond, WA $119,800.00-$258,000.00 6 days ago Seattle, WA $125,700.00-$334,600.00 2 weeks ago Bellevue, WA $125,700.00-$334,600.00 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr