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 AI/ML - Machine Learning Engineer, Visual Intelligence - 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: Computers - Software Engineer
 
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: 200195307 / Latpro-3755811 
Date posted: Sep-25-2020
State, Zip: California, 95014

Description

AI/ML - Machine Learning Engineer, Visual Intelligence

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Sep 25, 2020

Role Number: 200195307

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? Do you want to be a part of redefining how people use their computing devices to search and access information? Are you excited by early stage initiatives with potential for huge impact? The Siri Search and Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, , computer vision and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri's universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. Join a new team in Apple AI/ML that is investigating novel visual capabilities of Siri across all Apple products that will transform the way people engage with the world around them! We're looking for strong engineers to work on cutting-edge technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.

Key Qualifications

  • 3+ years of professional experience in machine learning for computer vision applications
  • Excellent knowledge and good practical skills in major machine learning algorithms
  • Proven track record of developing and productionalizing high-quality computer vision algorithms
  • Strong interpersonal skills able to work independently as well as in a team
  • Excellent software design problem solving and debugging skillsFluency in Python and another language (C/C++, Go, Rust)
  • Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch...)

Description

As a machine learning engineer you are excited to seek and tackle high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment. Based in Cupertino, we work closely with teams across Apple worldwide and are looking for expert Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you.

Education & Experience

MS, Ph.D. in a related field , or equivalent experience



Requirements

See job description

 

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