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AIML - Machine Learning Engineer, Foundation Model Services
full-time•Seattle, Santa Clara
About this role
Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”.
Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time. * Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures. * Build tools to understand bottlenecks in Inference for different hardwares and use cases. * Mentor and guide engineers in the organization.
Bachelor’s degree or higher in Computer Science or related technical field. 8+ years of experience leading and driving complex, ambiguous projects. Industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics). Experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc. Proficient in building and maintaining systems written in modern languages (eg: Golang, python)
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
Description
* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time. * Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures. * Build tools to understand bottlenecks in Inference for different hardwares and use cases. * Mentor and guide engineers in the organization.
Minimum Qualifications
Bachelor’s degree or higher in Computer Science or related technical field. 8+ years of experience leading and driving complex, ambiguous projects. Industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics). Experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc. Proficient in building and maintaining systems written in modern languages (eg: Golang, python)
Preferred Qualifications
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
What you'll do
- Work closely with product teams to build production-grade solutions for model serving. Mentor and guide engineers while developing inference for cutting-edge model architectures.
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
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Frequently Asked Questions
What does a AIML - Machine Learning Engineer, Foundation Model Services do at Apple?
As a AIML - Machine Learning Engineer, Foundation Model Services at Apple, you will: work closely with product teams to build production-grade solutions for model serving. Mentor and guide engineers while developing inference for cutting-edge model architectures..
Is the AIML - Machine Learning Engineer, Foundation Model Services position at Apple remote?
The AIML - Machine Learning Engineer, Foundation Model Services position at Apple is based in Seattle, Washington, United States and Santa Clara, California, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the AIML - Machine Learning Engineer, Foundation Model Services position at Apple?
You can apply for the AIML - Machine Learning Engineer, Foundation Model Services position at Appledirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.