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Machine Learning Engineer, Apple Services Engineering at Apple
Seattle, Washington, United States -
Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Machine Learning, Deep Learning, Jax, Tensorflow, PyTorch, Large Language Models, Natural Language Processing, Distributed Systems, Foundation Modeling, Model Compression, Transfer Learning, Federated Learning, Statistical Techniques, Algorithm Development

Industry

Computers and Electronics Manufacturing

Description
Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques. DESCRIPTION We work on a wide spectrum of approaches, including foundation modeling, deep learning, model compression, transfer learning, federated learning and more. We work on core machine learning algorithms and models to power personalization in an efficient and scalable 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! MINIMUM QUALIFICATIONS BS/MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc. 2+ years of relevant work experience 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 PREFERRED QUALIFICATIONS PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Responsibilities
Develop and implement advanced machine learning algorithms and foundation models to enhance personalization and search accuracy. Optimize model performance and resource efficiency for deployment on customer devices.