Computer Vision and Machine Learning Engineer

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.

Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.

Our computer vision and machine learning (CVML) team of researchers and engineers tackles previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in computer vision and deep learning. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.

Are you prepared to make a lasting impact on the future of technology?

Description

We seek a proactive Computer Vision and Machine Learning Engineer to join our team in designing and implementing advanced algorithms for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.

In this role, you will collaborate closely with computer vision and machine learning researchers to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will focus on building multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.

Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.","responsibilities":"Developing cutting-edge CVML algorithms that push the boundaries of what is possible

Collaborating cross-functionally to understand algorithmic constraints and dependencies

Working with engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications

Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions

Advising on feature definitions/promising development directions in cross-functional groups

Preferred Qualifications

M.S. or Ph.D. in computer vision, machine learning or related fields

Excellent math skills, including linear algebra, computational science and optimization

Creativity and curiosity for solving highly complex problems

Excellent communication and collaboration skills

Hands-on experience of working with sensors and hardware

An interest in incubating ideas and taking them to finish

Experience shipping algorithms or publishing in top tier CVML conferences

Minimum Qualifications

B.S. and 10+ years of experience in software engineering, computer vision, machine learning or related fields.

Experience in deep learning frameworks such as PyTorch

Proficiency in Python development, using best coding practices

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .