Machine Learning Engineer, Sensing & Connectivity

Apple • Cupertino, CA

5h

About The Position

The Motion & Interaction team has created intuitive experiences for our
customers through motion sensing. When you simply raise your wrist, shake your
head, or move your device to interact, it’s the work of engineers and scientists
on this team. Our fingerprints can be found across core capabilities and
experiences on iPhone, Watch, AirPods, Vision Pro, and other Apple products. We
are a multidisciplinary team that operates at the intersection of algorithms,
software, hardware, and design. We come from diverse backgrounds in signal
processing, machine learning, software engineering, statistics, controls,
firmware development, and more. As a member of our dynamic group, you will have
a unique opportunity to work cross-functionally to develop products and features
that impact the lives of millions of users worldwide a daily basis.

DESCRIPTION

We are seeking a talented, self-motivated machine learning engineer to build
Apple’s next-generation features and experiences using multi-modal sensing. In
this role, you will ideate, design, and implement models & algorithms, while
optimizing for power, memory, and performance. You will be working on motion
sensing-related features, including sensor fusion and interactive technologies.

Requirements

• MS, PhD, or 5+ years experience in machine learning, computer science, or related fields
• Professional experience creating and experimenting with machine learning models, preferably with time series data
• Strong proficiency in Python, machine learning tools and frameworks e.g. PyTorch, TensorFlow

Nice To Haves

• Results oriented, with a proven ability to effectively prioritize and deliver tasks on schedule
• Excellent communication and collaboration skills
• Strong product sense, including the ability to balance technical feasibility with user experience
• Experience developing for embedded or real-time systems
• Experience leveraging distributed compute/storage models when the scale of data calls for it
• Experience designing and implementing interfaces between algorithms, software, and firmware
• Experience with multi-modal inputs and models, including IMU, images, video, and/or audio

Responsibilities

• ideate, design, and implement models & algorithms
• optimizing for power, memory, and performance
• working on motion sensing-related features, including sensor fusion and interactive technologies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level