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Apple ML Engineer Multimodal Sensing - Incubation United States, California, Cupertino 137614662
07.04.2025
We are looking for a creative prototyping engineer with excellent practical knowledge of deep learning, ML tools and architectures, and multi-modal sensing applied to physical spaces. The successful candidate will have experience with sensing architectures, acquisition and fusion of multimodal signals in particular using state-of-the-art AI technologies applicable to mobile, wearable, and robotic systems. A design-centric prototyping mindset, and the ability to rapidly adjust to changes in investigation directions based on insights acquired from experimental data, are essential advantages. The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.
- Ph. D./M.Sc. in AI/ML, Computer Science, Robotics, Electrical Engineering or similar field.
- Strong background in Computer Vision and Machine Learning, and multimodal sensor fusion, using generative AI principles and architectures
- Comfortable with using state-of-the-art Transformers, and Spiking networks (SNNs)
- Experience developing data-driven, deep learning solutions for multimodal perception problems
- Strong Python programming skills, with proficiency in ML tools/frameworks such as PyTorch
- Self-motivated, creative innovator with a passion for exploring new technologies
- Ability to adopt or implement established methodologies and apply statistical analysis in problem-solving
- 5+ years of proven experience in AIML
- Experience with asynchronous sensing systems
- Experience with near-sensor computation
- Understanding of physical characteristics of imaging and sensing systems
- Knowledge of robot operating system (ROS) suite, and familiarity with robot-specific sensing and interaction problem space
- Experienced in an iterative prototyping environment
- Thrives in a multi-functional work environment and is effective communicating across different teams
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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