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AIML - Machine Learning Engineer, Foundation Models at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Deep Learning, Python, JAX, PyTorch, Tensorflow, Distributed Systems, Algorithms, AI Solutions, Text Understanding, Image Generation, Speech Recognition, Video Processing, Multi-modal Perception, On-device Intelligence, Privacy Protections

Industry

Computers and Electronics Manufacturing

Description
Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. DESCRIPTION Apple Foundation Model Team are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for MLEs who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight billions of users with Apple products powered by foundation models. We are looking for an exceptional Machine Learning Engineer to design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. You will bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems that enhance user experiences. MINIMUM QUALIFICATIONS Proven track record in training or deployment of large models or building large-scale distributed systems. Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow Ability to work in a collaborative environment PREFERRED QUALIFICATIONS Web-scale information retrieval Human-like conversation agentMulti-modal perception for existing products and future hardware platforms On-device intelligence and learning with strong privacy protections PhD, or equivalent practical experience, in Computer Science, or related technical field.
Responsibilities
Design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. Bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems.