Qualcomm Senior Machine Learning Research Engineer 

Canada, Ontario, Markham 

684189949

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field.

Minimum Qualifications:

• Bachelor or master’s degree in electrical or computer engineering or related fields;

• Solid understanding of machine learning algorithms;

• Solid understanding of video processing and computer vision algorithms;

• 2+ years of experience with machine learning frameworks like TensorFlow, PyTorch;

• Excellent programming skills in Python, C/C++, Linux and Windows;

• Strong motivation and capabilities in learning new subjects especially in the field of video processing, computer vision and artificial intelligence;

• Strong problem-solving skills;

• Effective interpersonal communications skill (written and verbal);

• Analytical, thorough, resourceful and detail-oriented;

• Self-motivated, hardworking, and flexible.

Preferred Qualifications:

• Master’s or PhD degree with 2+ years of relevant work experience or publications in the areas of machine learning, computer vision, video/image processing algorithms, NLP or audio/speech processing.

Preferred Disciplines:

• Electrical Engineering, Computer Science, Computer Engineering

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.