About the role
What will you do at Apple?
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.
Which skills does this role require?
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