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...

Overview

Apple is seeking a Staff Machine Learning Performance Engineer to optimize Siri's model inference stack. You'll work on performance benchmarking and collaborate with product teams to enhance Siri's efficiency. This role requires expertise in machine learning and performance engineering.

Job Description

Who you are

You have extensive experience in machine learning and performance engineering, with a strong background in optimizing complex models. Your expertise in benchmarking and resource management allows you to identify bottlenecks and enhance system efficiency. You thrive in collaborative environments, working closely with cross-functional teams to achieve performance objectives. Your innovative mindset drives you to tackle unique challenges in model optimization, ensuring high accuracy and performance for applications like Siri. You are passionate about improving user experiences through technology and have a proven track record of delivering impactful results.

Desirable

Experience with large language models (LLMs) and their deployment in real-world applications is a plus. Familiarity with both on-device and server-based model implementations will enhance your contributions to the team. A background in consulting with product teams on modeling decisions will be beneficial in this role.

What you'll do

In this role, you will lead efforts to optimize Siri's machine learning models, focusing on performance and efficiency. You will conduct performance benchmarking to measure model performance in terms of compute, memory, and latency. Collaborating with feature and product teams, you will consult on modeling decisions to achieve Siri's performance objectives. Your work will involve integrating research findings into product implementations, ensuring that Siri operates at peak efficiency. You will also develop tooling and metrics to continuously monitor and improve model performance. Your contributions will directly impact the user experience, making Siri faster and more reliable.

What we offer

At Apple, you will be part of a diverse team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment where your ideas are valued and can lead to meaningful changes in technology. Join us in our mission to enhance user experiences through cutting-edge machine learning solutions.

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📍 Cupertino - On-Site

Apple is hiring a Machine Learning Engineer to innovate multimodal machine learning solutions for Siri. You'll work with TensorFlow, PyTorch, and JAX to enhance user interactions. This role requires strong programming skills and expertise in machine learning frameworks.

🏛️ On-SiteMid-Level
3 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Senior Machine Learning Engineer for the Siri team to design, build, and deploy advanced machine learning systems. You'll work with technologies like Python and TensorFlow to enhance Siri's capabilities. This role requires strong experience in machine learning and software engineering.

🏛️ On-SiteSenior
3 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Senior Machine Learning Engineer to enhance Siri's user experience through data-driven insights. You'll design scalable systems and collaborate with cross-functional teams. This role requires expertise in machine learning and data analysis.

🏛️ On-SiteSenior
3 months ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is hiring a Senior Machine Learning Engineer for the Siri Speech team to develop cutting-edge generative technologies. You'll work with machine learning, natural language processing, and deep learning to enhance Siri's capabilities. This role requires strong experience in designing large-scale ML systems.

🏛️ On-SiteSenior
1 month ago
Apple

Machine Learning Engineer

Apple📍 Cupertino - On-Site

Apple is seeking a Senior Machine Learning Engineer for the Siri Attention & Invocation team to develop innovative multimodal machine learning solutions. You'll work with Python and focus on enhancing user experiences across Apple's device ecosystem.

🏛️ On-SiteSenior
1 month ago