ASE Machine Learning Engineer – Privacy & Foundation Models Full-time

Summary
Are you passionate about building extraordinary products and embracing privacy? It’s central to all that we do! The goal of the Apple Services Engineering Machine Learning Lifecycle team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

Key Qualifications
Proficient programming skills in Python

Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch

Proven track record in training or deployment of large models or building large-scale distributed systems

Deep understanding of Deep Learning and Large Language Models (LLMs)

Natural Language Processing

Description
We work on a wide spectrum of approaches, including foundation modeling, federated learning, deep learning, model compression, transfer learning and more. We work on core machine learning algorithms and models to power personalization in an efficient, scalable and private manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers’ devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!

Education & Experience
Master’s degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 4+ years of experience in the job offered or related occupation.