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 ISE, SIML - Deep Learning Research Eng., HOUr - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Other
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200309141 / Latpro-3842294 
Date posted: Nov-27-2021
State, Zip: California, 95014

Description

ISE, SIML - Deep Learning Research Eng., HOUr

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Nov 10, 2021

Weekly Hours: 40

Role Number: 200309141

Can Computer Vision and Machine Learning transform the way people interact with devices? Can it revolutionize how we think about fundamental applications such as communication, photography, health and fitness, home security, digital payments, voice assistants, and many more? We truly believe it can! And we are looking for an exceptional talent with a strong foundation in machine learning, domain expertise in computer vision, and the ability to turn ideas into action. We are the Human Object Understanding (HOUr) team within the System Intelligent and Machine Learning (SIML) group. We are an applied R&D team that develops core technologies for visual perception and reasoning that power various applications across the Apple eco-system. Real-time always-on object detection in the iPhone camera, person recognition (face+body) technologies for Photos and Home products, and image in-painting in Photos Edit are just some examples of how our team has contributed to some of Apple's most beloved products.

Key Qualifications

  • Hands-on experience with deep learning and other current machine learning algorithms
  • Familiarity with deep learning toolkits
  • Strong analytical and problem solving skills
  • Strong programming skills in C++ and Python
  • Awareness of the challenges associated to the transition of a prototype into a final product
  • Familiarity with the challenges of developing algorithms that run efficiently on resource constrained platforms
  • Leadership in both applied research and development
  • Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
  • Ability to work independently and with others

Description

As a member of the SIML-POA team, you will develop ground breaking computer vision solutions that will be crucial for enabling high-impact features. You will work closely with product teams and other partners to help define what vision technologies need to be developed and how these will benefit the product roadmap. You will be responsible for further advancing or building new capabilities in visual perception and reasoning, ranging from object detection and recognition to generative modeling and 3D geometry. As a technical contributor, your main tasks in this position will include algorithm design, data and annotation specifications, neural network modeling, benchmarking, prototyping and integrating the technology into the next generation of Apple products and services.

Education & Experience

M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning

Additional Requirements

  • - Experience with OS X and iOS development tools is a plus
  • - Basic knowledge of Objective-C is desirable
  • - Experience in industry is a plus





Requirements

See job description

 

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