Senior Machine Learning Engineer - Computer Vision

Role Number: 200694663-3956

Summary

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 tackle 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 machine learning systems. 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 Senior Machine Learning Engineer to join our team in designing and implementing advanced systems 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 and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.

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 7+ years of experience in software engineering, computer vision, machine learning or related fields.

• Strong experience in Python.

• Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.

Preferred Qualifications

• M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.

• Working experience in C++ or Swift.

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

• Creativity and curiosity for solving highly complex problems.

• Excellent communication and collaboration skills.

• An interest in incubating ideas and taking them to finish.

• Experience with iOS/macOS development.

• Experience shipping algorithms or publishing in top tier CVML conferences.

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.