About the role

What will you do at Apple?

At Apple, individual creativity converges around shared values that drive

innovation. Our products emerge from collaborative teams strengthening each

other's ideas, fueled by diverse perspectives and a belief we can transform

lives. Our CVML team solves complex challenges at the intersection of

perception, intelligence, and real-time processing. We seek an experienced

engineer with demonstrated expertise in applying deep learning to non-vision

signals such as audio, motion, and sensor data to shape next-generation products

impacting millions daily. Ready to make an impact?

DESCRIPTION

We seek a Machine Learning Engineer to join our team in designing and

implementing advanced algorithms for multimodal sensor fusion. The ideal

candidate brings proven expertise in translating cutting-edge research into

production-ready solutions that delight users at scale.

In this role, you will

collaborate closely with hardware, software and user-experience teams to develop
world-class algorithms that advance the state of the art while creating deeply
personal experiences for our users. You will drive the development of 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 evaluating breakthrough
research to solving complex real-world problems, architecting model efficiency
strategies for on-device inference, and ensuring algorithms perform flawlessly
in production at scale. You will be instrumental in pushing the boundaries of
what is possible when sophisticated machine learning meets spatial computing,
while establishing best practices and technical direction for your team.
MINIMUM QUALIFICATIONS
B.S and 3 years of experience in software engineering, deep learning, sensor
fusion, or related fields. Experience in deep learning frameworks such as
PyTorch Proficiency in Python development, using best coding practices
PREFERRED QUALIFICATIONS
Ph.D. or M.S., with 3+ years of industry experience in deep 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 AIML conferences

Which skills does this role require?

Sensor FusionPyTorchPythonMultimodal LearningEdge DeploymentOn-device InferenceSpatial ComputingSoftware EngineeringMachine LearningMultimodal Sensor FusionCVMLPerceptionAudio SignalsMotion DataSensor DataReal-time Processing

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