Camera Architecture - SW/ML Specialist

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI

Summary

Posted:
Role Number: 200106875
The Camera Architecture team is responsible for research, design, and specifications for camera hardwares for all future Apple products with cameras. This team is seeking an exceptional software engineer and Machine Learning specialist with responsibilities for supporting simulation infrastructure, ML ground truth data preprocessing and applying Machine L earning into aspect related to general simulation needs.

Key Qualifications

  • Strong Programming skill in C/C++, Python and familiarity with Matlab
  • Expertise in data analysis/optimization method
  • Expertise with general signal/image processing concept
  • Expertise in Machine learning fundamentals
  • Knowledge with CMOS sensing concept is a plus
  • Knowledge in 3D rendering/Ray tracing/Surface modeling is a plus

Description

The ideal candidate is enthusiastic about working on modeling of the real world based upon physical principles. In this role you will be responsible for obtaining/creating input data to a sophisticated end to end imaging system simulation pipeline. The role will immediately work on the visible to infrared data inferencing via Machine learning and subsurface modeling, which will enable the existing simulation system to the extended range. Strong data science background and programming skill is a key to success as the candidate is expected to work with humongous data set.

Education & Experience

MS/Ph.D in Computer Science ,Electrical Engineering, imaging science, or related field. preferably with 3+ years experience. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Additional Requirements