AIML - Machine Learning Engineer, Siri Information Intelligence

at  Apple

Cambridge, Massachusetts, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate07 Jul, 2024Not Specified07 Apr, 2024N/AComputer Science,Productization,Data Structures,Training,Interpersonal SkillsNoNo
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Description:

SUMMARY

Posted: Apr 3, 2024
Weekly Hours: 40
Role Number:200546015
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 Siri Information Intelligence in AIML is looking for Machine Learning 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, the 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
  • Extensive experience with ML modeling and productization
  • Strong background in computer science: algorithms and data structures
  • Excellent interpersonal skills able to work independently as well as in a team
  • Experience with training, serving and optimizing Large Language Models
  • Experience with XLA/Compiler/CUDA

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 the latest NLP/Image models

EDUCATION & EXPERIENCE

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

ADDITIONAL REQUIREMENTS

Additional Requirement

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Cambridge, MA, USA