Computer Vision and Machine Learning Research Scientist - Physiology

Key Skills

Aartificial intelligence, Computer Vision (CV), Deep Learning, Linear Algebra, Machine learning techniques, MATLAB Programming, OpenCV, Pandas, Python Programming, PyTorch, Scikit-learn, Signal processing, TensorFlow

Job Description

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.

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.

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.

  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.