About Apple
The personal technology company redefining user experience
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...
Skills & Technologies
Overview
Apple is hiring a Machine Learning Research Engineer to develop cutting-edge AI/ML models for Human Sensing technologies. You'll work with Machine Learning and Computer Vision to enhance user experiences across Apple platforms. This role requires a strong foundation in these areas.
Job Description
Who you are
You have a strong foundation in Machine Learning and Computer Vision — your expertise allows you to design and develop innovative AI/ML models that push the boundaries of technology. You are passionate about creating multi-modal Human Sensing technologies that enhance user experiences across various Apple platforms.
Your experience includes working on robust cross-domain identity recognition systems — you understand the intricacies of human traits such as identity, expression, and gesture, and how they can be leveraged to create seamless interactions between users and devices. You thrive in an applied research environment, where your contributions can have a significant impact on the development of next-generation technologies.
You are comfortable collaborating with cross-functional teams — your ability to communicate complex ideas clearly and effectively ensures that you can work closely with engineers, designers, and product managers to bring innovative solutions to life. You are driven by the desire to create intelligent experiences that users love and rely on.
Desirable
Experience with real-time visual human sensing technologies is a plus — you have a keen interest in how these technologies can enhance photography and communication experiences. Familiarity with Apple platforms and their ecosystems will give you an edge in understanding user needs and expectations.
What you'll do
As a Machine Learning Research Engineer at Apple, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing. Your work will focus on building robust systems that recognize key human traits, enabling personalized experiences across Apple products. You will collaborate with a team of researchers and engineers to innovate and implement solutions that enhance user interactions.
You will engage in applied research, contributing to the development of foundation models for facial and full-body perception. Your role will involve experimenting with various machine learning techniques to improve the accuracy and efficiency of identity recognition systems. You will also be tasked with evaluating the performance of these models and iterating on them based on user feedback and technological advancements.
Your contributions will directly impact major Apple Intelligence experiences, such as personalized Natural Language Search and Image Generation. You will work on projects that enhance flagship features like Cinematic mode and Center Stage, ensuring that users enjoy seamless and intelligent interactions with their devices.
What we offer
At Apple, you will be part of a diverse and inclusive team that values innovation and creativity. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have access to cutting-edge technology and resources that empower you to push the boundaries of what is possible in the field of machine learning and human sensing.
Join us in shaping the future of technology and creating experiences that users love. We encourage you to apply even if your experience doesn't match every requirement — your passion and willingness to learn are what matter most.
Interested in this role?
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