Computer Vision and Machine Learning Engineer at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Deep Learning, Python, Sensor Fusion, Edge Computing, Algorithm Development, Real-Time Processing, Model Optimization, Collaboration, Problem Solving, Research, Production-Ready Solutions, Mathematics, Creativity, Curiosity

Industry

Computers and Electronics Manufacturing

Description

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. 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 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

Responsibilities

Design and implement advanced algorithms for spatial computing and artificial intelligence. Collaborate with researchers to develop algorithms that enhance user experiences and optimize model efficiency for on-device inference.