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 AI/ML - ML Infrastructure Software Engineer, Information Intelligence - Seattle, Washington, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Other
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200282620 / Latpro-3819678 
Date posted: Sep-21-2021
State, Zip: Washington, 98199

Description

AI/ML - ML Infrastructure Software Engineer, Information Intelligence

Seattle , Washington , United States

Machine Learning and AI

Summary

Posted: Aug 27, 2021

Role Number: 200282620

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple Information Intelligence team is looking for engineers to build and optimize various infrastructure pieces of our ML stack. You will get exposed to exciting technologies in areas including distributed data processing, large scale distributed training of models, latest frontier in models for natural language processing and artificial intelligence, and the most advanced techniques to scale the systems to handle billions of requests and petabytes of data per day, and much more! The system we build help to power a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup etc. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Key Qualifications

  • Strong coding skills
  • Strong background in computer science: algorithms and data structures
  • Excellent interpersonal skills able to work independently as well as in a team
  • Experience with popular training frameworks like tensorflow/pytorch for serving/training/optimization is a plus
  • Experience with GPU serving/optimization/training/ is a plus
  • Experience with model compression/quantization is a plus
  • Experience with distributed data processing is a plus
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes is a plus

Description

Build scalable and effective systems for serving deep learning models Build and optimize distributed training approaches for deep learning models on ML accelerators such as GPUs Build software that improves the rate of experimentation and helps people make better decisions about what to try next - Train, evaluate, and debug deep learning models for complex tasks Develop tools and services for understanding latest NLP/Image models

Education & Experience

BS, MS, Ph.D. in a related field , or equivalent experience



Requirements

See job description

 

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