Machine Learning Research Scientist - Physiology

Key Skills

Java Programming, Python Programming, SQL, TensorFlow

Job Description

At Apple, we strive to achieve surprise and delight for every one of our millions of customers around the world. The Technology Development Group is looking for a machine learning research scientist who is passionate about building advanced algorithms for analyzing complex neural and physiological signals. Candidates will have a strong research background in machine learning, and have made contributions to the field by building new computational models and applying them on real-world datasets. 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 simpler models (linear regression, SVM, random forests etc.) and deep learning models (recurrent neural nets, convolutional nets) on large, noisy neural and physiological datasets.
• Strong theoretical and applied background in some or all of the following: unsupervised/supervised methods, online machine learning, computer vision, sensor fusion, dynamical systems, modeling of perceptual reasoning and decision making.
• Experience in signal processing, linear algebra and time-frequency analysis.
• Fluency in a high-level programming language (Matlab and/or Python) and experience with ML tools (scikit-learn, pandas and deep learning toolboxes such as TensorFlow and PyTorch)
• Excellent programming, problem solving and debugging skills.
• (Preferred) Experience with translating exploratory data analyses into production models.

Description

• 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 work closely with other scientists and engineers to rapidly carry out analyses that help drive research and development. You will have the following responsibilities:
• Carry out extensive analytics that aim 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 real-time algorithms to a variety of platforms

Education & Experience

• PhD (or MS and 3 years of research experience) in Computer Science, Computational Neuroscience, Biomedical Engineering, Applied Mathematics, or related field. 2+ years postdoctoral experience and/or industry research experience is a plus.

Additional Requirements

• Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.