Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Apple

Machine Learning Engineer Mid-Level

AppleCalifornia

Apply Now →

Overview

Apple is hiring a Machine Learning Engineer for their Foundation Models team to optimize inference for cutting-edge model architectures. You'll work with technologies like CUDA and TensorFlow to build production-grade solutions serving millions of customers in real-time.

Job Description

Who you are

You have a strong background in machine learning and experience with optimizing inference for large-scale models — you've worked on projects that required you to push the boundaries of technology and innovate solutions that impact millions of users. Your expertise in frameworks like TensorFlow and PyTorch allows you to implement state-of-the-art algorithms effectively. You are comfortable collaborating with cross-functional teams, including product managers and researchers, to deliver high-quality solutions that meet user needs.

You possess a solid understanding of model architectures and are eager to tackle challenges related to language, vision, and speech models — your analytical skills enable you to identify bottlenecks in inference and propose actionable improvements. You thrive in environments that encourage bold thinking and are not afraid to take risks to achieve the best outcomes. Your passion for technology drives you to stay updated with the latest advancements in machine learning and AI.

What you'll do

As a Machine Learning Engineer at Apple, you will work alongside the Foundation Model Research team to optimize inference for cutting-edge model architectures. You will collaborate closely with product teams to build production-grade solutions that launch models serving millions of customers in real-time. Your role will involve developing tools to understand and mitigate bottlenecks in inference, ensuring that the models run efficiently at scale. You will also contribute to the design and implementation of frameworks and services that power Apple's foundation models, impacting a wide range of services including Apple Search, Apple Music, and Siri.

You will have the opportunity to innovate and experiment with new technologies, pushing the limits of what is possible in machine learning. Your contributions will directly influence the performance and scalability of Apple's AI capabilities, making a significant difference in the lives of users worldwide. You will be part of a dynamic team that values creativity and collaboration, where your ideas and insights will be welcomed and encouraged.

What we offer

Apple provides a unique environment where you can grow your skills and make a real impact. You will be part of a team that is dedicated to building the best technology in the industry, with access to cutting-edge resources and tools. We encourage you to apply even if your experience doesn't match every requirement — your passion and willingness to learn are what matter most. Join us at Apple and help shape the future of technology.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Apple.

Similar Jobs You Might Like

Based on your interests and this role

Apple

Machine Learning Engineer

Apple📍 California

Apple is hiring a Machine Learning Engineer for their Foundation Models team to optimize inference for cutting-edge model architectures. You'll work with technologies like CUDA and TensorFlow to build production-grade solutions serving millions of customers. This position requires experience in machine learning and model optimization.

Mid-Level
3 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Machine Learning Engineer to develop sophisticated foundation models that enhance intelligent features across its product ecosystem. You'll work with Python and machine learning frameworks like Jax and PyTorch. This position requires expertise in machine learning and a strong programming background.

🏛️ On-SiteMid-Level
5 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Machine Learning Engineer to develop sophisticated foundation models that enhance intelligent features across its product ecosystem. You'll work with Python and machine learning frameworks like PyTorch and Jax. This role requires expertise in machine learning and a strong programming background.

🏛️ On-SiteMid-Level
5 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Machine Learning Engineer to develop sophisticated foundation models that enhance intelligent features across its product ecosystem. You'll work with Python and machine learning frameworks like PyTorch and Jax. This position requires expertise in machine learning and a strong programming background.

🏛️ On-SiteMid-Level
5 months ago
Apple

Ai Research Engineer

Apple📍 Cupertino - On-Site

Apple is hiring an AI Research Engineer to develop foundation models that enhance user experiences across its products. You'll work with deep learning techniques and collaborate with a team of engineers and scientists. This position requires expertise in Python and a strong background in deep learning.

🏛️ On-SiteMid-Level
1 month ago