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Home›Jobs›Apple›Senior Applied ML Researcher
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
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...

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Apple

Senior Applied ML Researcher

Apple • Cupertino, California, United States

Posted 1d ago🏛️ On-SiteSeniorApplied scientist📍 Cupertino
Apply Now →

Skills & Technologies

PythonDeep learningMachine learningComputer visionAudio signal processingPyTorch

Overview

Apple is seeking a Senior Applied ML Researcher to design, train, and deploy advanced models for visual and audio understanding. You'll work with technologies like Python and PyTorch, focusing on deep learning and computer vision. This role requires 4+ years of experience in machine learning engineering.

Job Description

Who you are

You have a Master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience. With over 4 years of experience in deep learning or machine learning engineering, you possess strong expertise in deep neural networks and modern training workflows. Your hands-on experience spans more than 8 years, particularly in computer vision and/or audio modeling. Proficiency in Python and deep learning frameworks, especially PyTorch, is second nature to you. You have a solid understanding of linear algebra, probability, and optimization, enabling you to build intuition from problem statements and translate them into actionable solutions.

Desirable

You are familiar with generative AI and its applications in enhancing user workflows. Your collaborative spirit allows you to work closely with research scientists, engineers, and product teams to explore novel applications of deep machine learning capabilities. You are driven by the mission to elevate the workflows of millions of creators through innovative solutions.

What you'll do

In this role, you will design and train deep neural networks for various tasks, including video, image, audio, and audio-visual tasks. You will build models for audio-visual representation learning, cross-modal alignment, and fusion. Your work will involve developing solutions for video understanding and temporal modeling, audio-visual event detection, and multimodal classification, detection, and localization. You will tackle challenging problems at the intersection of computer vision, audio signal processing, and multimodal learning, enabling intelligent systems that can see, hear, and reason about the world.

You will collaborate closely with cross-functional teams to find innovative applications of deep learning technologies. Your contributions will directly impact the user experience for Apple's creative user base, combining generative AI with human-centered design principles. You will also be responsible for on-device deployment of the models you develop, ensuring they are optimized for performance and usability.

What we offer

Apple is committed to fostering an inclusive and diverse workplace. You will be part of a team that values collaboration and innovation, working on cutting-edge technologies that shape the future of user experiences. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in our mission to empower creators and enhance their workflows through advanced machine learning solutions.

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