Machine Learning Engineer / Data Scientist
Posted on: 23 Jan 2021
San Diego, CA
Job Description
Machine Learning Engineer / Data Scientist
San Diego, California, United States
Machine Learning and AI
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Summary
Posted: Jan 20, 2021
Role Number:200209698
As a Machine Learning Engineer / Data Scientist within the Ground Truth Systems Team, you will be part of a team building infrastructure and tools for exciting new technologies that will shape our future. We build web services that work at scale to support new products and also enable Machine Learning development workflows. We are looking for a Machine learning (ML) engineer with a broad experience and knowledge in machine/deep learning and computer vision. You will be part of every stage of development from concept to deployment. The Engineer will be working on cutting edge problems in efficient data annotation building ML models that assist humans in reducing labeling efforts without sacrificing quality. The candidate should be proficient in the theoretical fundamentals of the above areas with experience in applying them to solve real-world problems.
Key Qualifications
Key Qualifications
* Strong coding skills in Python using scientific libraries like numpy, scipy.
* Experience with one or more deep learning frameworks such as PyTorch, Tensorflow, or Keras is a must.
* Experience with training deep neural networks on large-scale datasets.
* Understanding of data structures, software design principles and algorithms.
* Interest in building machine learning models that assist humans in reducing labeling efforts.
* Deep knowledge of traditional ML concepts such as GMMs, SVMs, trees, and boosting as well as more recent deep learning fundamentals.
* Previous publication experience in conferences such as CVPR, ICCV, NeurIPS, and ICLR will be strongly considered
Description
Description
The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. Examples include FaceID, Animoji/Memoji, Scene Understanding, People Understanding and Positional Tracking (VIO/SLAM).
Education & Experience
Education & Experience
MS or PHD in CS/CE/EE (or equivalent) with emphasis in machine learning and computer vision
Additional Requirements
Additional Requirements
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Apple
Cupertino, CA
Apple Inc. designs, manufactures, and markets mobile communication and media devices, and personal computers. It also sells various related software, services, accessories, and third-party digital content and applications. The company offers iPhone, a line of smartphones; iPad, a line of multi-purpose tablets; and Mac, a line of desktop and portable personal computers, as well as iOS, macOS, watchOS, and tvOS operating systems.
It also provides iTunes Store, an app store that allows customers to purchase and download, or stream music and TV shows; rent or purchase movies; and download free podcasts, as well as iCloud, a cloud service, which stores music, photos, contacts, calendars, mail, documents, and others. In addition, the company offers AppleCare support services; Apple Pay, a cashless payment service; Apple TV that connects to consumers’ TVs and enables them to access digital content directly for streaming video, playing music and games, and viewing photos; and Apple Watch, a personal electronic device, as well as AirPods, Beats products, HomePod, iPod touch, and other Apple-branded and third-party accessories.
The company serves consumers, and small and mid-sized businesses; and education, enterprise, and government customers worldwide. It sells and delivers digital content and applications through the iTunes Store, App Store, Mac App Store, TV App Store, Book Store, and Apple Music. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1977 and is headquartered in Cupertino, California.
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IndustryInformation Technology
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No. of Employees132,000
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Website
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Jobs Posted4535
