Machine Learning Engineer

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. Do

you want to make Siri and Apple products more intelligent for our users? The

Machine Learning Platform Technology team is building groundbreaking technology

for search, natural language processing, artificial intelligence and machine

learning. Our infrastructure and research for data curation form the backbone of

Apple Intelligence. It powers the largest Apple foundation models on servers and

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 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. 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 the scale of Apple.

DESCRIPTION

We design, build, and maintain large-scale ML systems that make petabytes of

data easy to process and query while upholding Apple's rigorous privacy

standards, for training the next generation of Apple Foundation Models.

MINIMUM QUALIFICATIONS

4+ years of experience with large language models (LLMs), large multimodal

models (LMMs), computer vision, or related AI/ML technologies Experience

developing and evaluating machine learning models, with a strong understanding

of data and model quality Strong programming skills and hands-on experience

using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX

Experience building large-scale machine learning systems and working with

distributed data processing frameworks Strong problem-solving skills with a

results-oriented mindset Experience leading rapid prototyping and

proof-of-concept development for AI/ML applications Excellent communication

skills, with the ability to work independently and collaborate effectively with

cross-functional teams Master's degree or Ph.D. in Computer Science, Machine

Learning, Artificial Intelligence, or a related field, or equivalent industry

experience

PREFERRED QUALIFICATIONS

Experience developing or advancing state-of-the-art LLMs and/or LMMs Experience

with modern deep learning architectures, including Transformers,

mixture-of-experts (MoE), and multimodal models Experience deploying and scaling

machine learning and deep learning models, including VLMs, for production-scale

inference Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR,

ACL, CVPR, ICCV, AAAI, KDD) and/or demonstrated significant industry impact in

AI