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 Senior ML DNN Engineer, Perception - 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: 200169362 / Latpro-3741400 
Date posted: May-15-2020
State, Zip: California, 95014


Senior ML DNN Engineer, Perception

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: May 9, 2020

Role Number: 200169362

Apple is looking for a hardworking, dedicated, and results-oriented DNN machine learning engineer to develop and integrate sophisticated autonomous systems. In this position, you will have the opportunity to work with a multi-functional team on an innovative multi-platform hardware/software product.

Key Qualifications

  • 3+ years of Deep learning for vision/perception domain
  • 3+ years production software experience, especially collaboration with moderate to large groups of developers
  • Highly experienced with ML tools and libraries (Tensorflow/Pytorch)
  • Strong background in Python, C++, Linux
  • Experience with modern distributed computed paradigms and platforms (AWS. MapReduce, Spark)
  • Proficient understanding of algorithm and data structures
  • Demonstrated creative, critical and independent thinking capabilities and troubleshooting skills.
  • Strong analytical, verbal and written skills


You will design and develop state of the art DNN models for addressing complex perception tasks for an autonomous technology project. You will be concerned with the full stack of DNN development: designing and training DNN networks, write production code, develop tools and metrics for enabling DNNs on device and in production. - Passion for building great software - Passion for clean APIs, and great documentation - Passion for metrics and algorithm visualization - Deployment of Deep Learning or ML models at scale or into production - SQL and databases

Education & Experience

Bachelor degree or Masters in computer science/ML equivalent professional experience.


See job description


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