Apple is seeking a machine learning engineer to build next-generation features and experiences using multi-modal sensing for their products, focusing on motion sensing and interactive technologies.
Requirements
- 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
- 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
- Optimize for power, memory, and performance
- Work on motion sensing-related features, including sensor fusion and interactive technologies
- Design and drive end to end features with specialists across the company
- Develop machine learning data pipelines for training and testing
- Deploy efficient, low-power models & algorithms
- Deliver the software through prototyping and release to our customers
Other
- MS, PhD, or 5+ years experience in machine learning, computer science, or related fields
- 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
- 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.
- 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 .
