Computer Vision and Machine Learning Research Scientist - Physiology

Apple - Sunnyvale, CA

Full-time

Sunnyvale, CA

Computer and Electronic Product Manufacturing

About the position

Apple is seeking a Computer Vision and Machine Learning Research Scientist specializing in physiology to join our innovative team in Sunnyvale, California. In this role, you will be at the forefront of developing transformative bio-feedback experiences that leverage cutting-edge machine learning and computer vision techniques. Your work will focus on building new models capable of inferring physiological, health, or comfort-related signals from video data. This position is ideal for someone who is passionate about applying cognitive and systems neuroscience principles to create impactful solutions that enhance user well-being. As a member of our research team, you will collaborate closely with engineers and fellow researchers to implement state-of-the-art algorithms that push the boundaries of current technology. This multi-faceted scientific role requires versatility and a collaborative spirit, as you will be involved in various tasks that contribute to the overall success of our projects. Your responsibilities will include developing machine learning models that extract meaningful insights from complex multimodal datasets, working cross-functionally to translate these insights into transformative prototypes and demonstrations, and helping to architect and port closed-loop, real-time algorithms across different platforms. The ideal candidate will possess a strong background in both traditional and deep learning computer vision models, with hands-on experience applying these techniques to physiological datasets. You will need to demonstrate excellent programming skills, problem-solving abilities, and a keen interest in using machine learning to improve health and comfort outcomes for users. This role offers a unique opportunity to contribute to groundbreaking research in a fast-paced environment, where your ideas and innovations can make a significant impact on the lives of individuals.

Responsibilities

• Develop machine learning models to extract meaningful insights from complex multimodal datasets.
• Work cross-functionally with team members to translate insights into prototypes and demonstrations.
• Help architect and port closed-loop, real-time algorithms to various platforms.

Requirements

• Hands-on experience with traditional computer vision models (e.g., optical flow, structure from motion) and deep learning models (e.g., body/face detection, segmentation).
• Fluency in a high-level programming language (Python and/or Matlab) and experience with ML tools (scikit-learn, pandas, TensorFlow, PyTorch).
• 2+ years experience with OpenCV or similar.
• 2+ years experience in signal processing, linear algebra, and time-frequency analysis.
• Excellent programming, problem-solving, and debugging skills.
• Interest in applying machine learning techniques to improve user well-being, health, and comfort.
• PhD (or MS and 3 years of research experience) in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or related field.

Nice-to-haves

• Experience with the human visual system and perception.
• Experience translating exploratory data analyses into production models.
• 2+ years industry research experience.