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 ISE, SIML - Applied Researcher in Scene Understanding (SUN) - 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: 200314396 / Latpro-3842279 
Date posted: Nov-27-2021
State, Zip: California, 95014


ISE, SIML - Applied Researcher in Scene Understanding (SUN)

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI


Posted: Nov 18, 2021

Weekly Hours: 40

Role Number: 200314396

Are you interested in making an extensive and impactful contribution to Machine Learning at Apple? Our Scene Understanding (SUN) team is hiring an experienced technical leader in Applied R&D. SUN is comprised of researchers who own a variety of production ML workflows that surprise and delight millions of our customers! We contribute to a variety of shipping workflows you may already regularly use, including: Photos Search, Curation, Memories, Intelligent Autocrop, Visual Captioning for Accessibility, Federated Learning on visual content, Real time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on-device backbones across the system. Further, several of our projects are surfaced to third party developers through Vision & CoreML. Shipping APIs include image tagging, image similarity, saliency estimation and prints for transfer learning. Here are a selection of relevant WWDC presentations:

Key Qualifications

  • Strong ML Fundamentals
  • Experience with multiple modalities (image, NLP, audio)
  • Proven track record of placing applied research in context with state of art
  • Proficient in coding (C, C++, Python)
  • Proven prototyping skills
  • You have strong analytical and problem solving skills
  • You're aware of the challenges associated to the transition of a prototype into a final product
  • You're familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
  • You've demonstrated 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
  • You should be motivated and results-oriented


The Scene Understanding team is looking for a technical leader with a proven track record in ML research. The position would entail algorithm design, extensive experimentation, and prototyping aimed at asking and answering the right questions that would have a lasting impact in user experience. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Among the most important skillsets required would be a deep understanding of ML fundamentals, and the ability to translate them into production quality code. Solutions developed will leverage multi-modal inputs (visual, range, nlp, audio) with a strong emphasis on visual processing. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.

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 and familiarity with GPU programming is a plus
  • - Basic knowledge of Objective-C is desirable
  • - Experience in software engineering is a major plus
  • - Experience in industry is a plus


See job description


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