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 CVML Data Engineer- VCV Synthetic Data Group - 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: Creative services/Design
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: 200194230 / Latpro-3755464 
Date posted: Sep-23-2020
State, Zip: California, 95014


CVML Data Engineer- VCV Synthetic Data Group

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI


Posted: Sep 22, 2020

Weekly Hours: 40

Role Number: 200194230

As part of Apple's Synthetic Data Group (SDG), you will contribute to the design of a synthetic dataset generation platform in a fast paced cross-functional team. Using your knowledge in computer vision/deep learning and synthetic data, you will drive requirements for our pipeline & infrastructure to generate, test and deliver state of the art synthetic datasets for data driven computer vision algorithms. You will be interacting with HW, SW, and ML teams to build, maintain, and deliver Apple quality state-of-the-art experiences. The individual flourishes in a dynamic research and development, fast paced start-up environment to build software solutions for Apple's next generation products! To succeed within this role, you should have shown experience in several of the following areas:

Key Qualifications

  • 5+ years of experience with Python / Matlab / C++ for data analysis, algorithm development, and visualization
  • Breadth knowledge in computer vision, with understanding of traditional and deep learning solutions to various perception problems (with experience developing and testing Convolutional Neural Network)
  • Work with world-class computer vision engineers to understand the algorithms they develop, propose adequate synthetic datasets requirements and drive the implementation of the synthetic dataset platform
  • Build systems to gather analytics and report metrics to quantify synthetic data and algorithm performance, streamline development operations, and relate them to user experiences
  • Experience using Synthetic Data for training computer vision models
  • Experience using Deep Learning packages such as Tensorflow/Keras & PyTorch
  • Familiarity with assembling test plans, designing test cases, and developing test applications and/or tools to quickly track and debug failures in a large scale systems


Leverage your deep validation engineering experience working with cross-functional teams to develop, modify, and execute software test plans. Analyzes and writes test standards and procedures. Maintains documentation of test results to assist in debugging and modification of software. Analyzes test results to ensure correct functionality, determine root causes of failures, and recommends corrective action. Consults with development teams in resolution of problems. Provides feedback in a timely manner, and maintain quality synthetic data standards for complex computer vision and machine perception technologies.

Education & Experience

MS or PhD in Computer Science/ Computer Engineering/ Electrical Engineering or equivalent industry experience


See job description


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