Camera Machine Learning Specialist/Lead @ Qualcomm

Key job responsibilities may include a subset of the following:

• Developing machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.)

• Work on training strategies and supporting deployment and commercialization for the machine learning features

• Work on system and algorithmic design changes to improve machine learning inference speed

• Driving regular engagements with software/test teams towards the ML feature commercialization on Qualcomm platforms

Minimum qualifications:

• Bachelors OR Master s degree in Science, Engineering, or related field, with 7+ years working experience in machine learning and deep network architectures

• Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.)

• Strong background in image and signal processing, statistics, and data analysis.

• Strong programming skills and working experience in C/C++ and Python.

Preferred qualifications:

• Background in color science, and image signal processor pipelines

• Knowledge/working experience in computer vision algorithms

• Good communication skills

Educational requirements:

• Required: Master s, Computer Engineering and/or Computer Science and/or Electrical Engineering

• Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering