Machine Learning Engineer
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.
Responsibilities include:
-Designing and driving end to end features with specialists across the company
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-Developing machine learning data pipelines for training and testing
-Deploying efficient, low-power models & algorithms
-Delivering the software through prototyping and release to our customers
-You will work closely with scientists, software engineers, quality engineers, project managers, and designers throughout a product lifecycle, driving for the best possible customer experience.
Preferred Qualifications
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
Minimum Qualifications
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
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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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