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Form of workSummary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
Our team is looking for a Machine Learning Research Scientist who has expertise in Computer Vision and has made contributions to the field by building new models that can infer physiological, health or comfort related signals from videos. The ideal candidate has a passion to create transformative bio-feedback experiences that are inspired by cognitive and systems neuroscience. We are looking for a teammate with excellent interpersonal skills, and a dedication to conducting impactful research in a fast-paced environment.
Key Qualifications
Hands-on experience with applying both traditional CV models (for ex: optical flow, structure from motion, state estimation, feature descriptors, Eulerian magnification) and deep learning models (for ex: body/face detection, segmentation, stereo depth, saliency, recurrent and convolutional nets) on physiological datasets.
Fluency in a high-level programming language (Python and/or Matlab) and experience with ML tools (scikit-learn, pandas and deep learning toolboxes such as TensorFlow and PyTorch).
Experience with OpenCV or similar.
Experience in signal processing, linear algebra and time-frequency analysis.
Excellent programming, problem solving and debugging skills.
Interest in applying Machine Learning techniques to help improve user's wellbeing, health and comfort.
(Preferred) Experience with human visual system and perception.
(Preferred) Experience with translating exploratory data analyses into production models.
Description
You'll be working in a team of researchers and engineers to implement world class algorithms that pushes the state-of-the-art. This is a multi-faceted scientific role that will require you to be versatile across a variety of tasks in a highly collaborative environment. You will have the following responsibilities:
Develop Machine Learning models to pull out meaningful and actionable insights from complex multimodal datasets.
Work cross-functionally with other team members to translate these insights into transformative prototypes and demonstrations.
Help architect and port closed-loop, real-time algorithms to a variety of platforms.
Education & Experience
PhD (or MS and 3 years of research experience) in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or related field. 2+ years industry research experience is a plus.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
Our team is looking for a Machine Learning Research Scientist who has expertise in Computer Vision and has made contributions to the field by building new models that can infer physiological, health or comfort related signals from videos. The ideal candidate has a passion to create transformative bio-feedback experiences that are inspired by cognitive and systems neuroscience. We are looking for a teammate with excellent interpersonal skills, and a dedication to conducting impactful research in a fast-paced environment.
Key Qualifications
Hands-on experience with applying both traditional CV models (for ex: optical flow, structure from motion, state estimation, feature descriptors, Eulerian magnification) and deep learning models (for ex: body/face detection, segmentation, stereo depth, saliency, recurrent and convolutional nets) on physiological datasets.
Fluency in a high-level programming language (Python and/or Matlab) and experience with ML tools (scikit-learn, pandas and deep learning toolboxes such as TensorFlow and PyTorch).
Experience with OpenCV or similar.
Experience in signal processing, linear algebra and time-frequency analysis.
Excellent programming, problem solving and debugging skills.
Interest in applying Machine Learning techniques to help improve user's wellbeing, health and comfort.
(Preferred) Experience with human visual system and perception.
(Preferred) Experience with translating exploratory data analyses into production models.
Description
You'll be working in a team of researchers and engineers to implement world class algorithms that pushes the state-of-the-art. This is a multi-faceted scientific role that will require you to be versatile across a variety of tasks in a highly collaborative environment. You will have the following responsibilities:
Develop Machine Learning models to pull out meaningful and actionable insights from complex multimodal datasets.
Work cross-functionally with other team members to translate these insights into transformative prototypes and demonstrations.
Help architect and port closed-loop, real-time algorithms to a variety of platforms.
Education & Experience
PhD (or MS and 3 years of research experience) in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or related field. 2+ years industry research experience is a plus.
