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Apple is Hiring an AIML - Machine Learning Engineer, Siri Information Intelligence Near Cambridge, MA
Summary
Posted:
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