Qualcomm Machine Learning Research Scientist 

United States, California, San Diego 

742084541

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Responsibilities:

• Contribute to the conception and implementation of new algorithms for improved video compression.

• Initiate ideas, design and implement algorithms for computationally lightweight model architectures.

• Represent Qualcomm in standardization forums: JVET, MPEG Video and ITU-T/VCEG.

• Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

• Prior expertise in one or more aspects of generative models of video data (e.g., optical flow, implicit neural representations, video or single-image super-resolution, diffusion models, density estimation, transformers, etc.)

• Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.).

• Highly proficient Python programming skills, and familiarity with PyTorch.

• Strong written and verbal English communication skills, great work ethic, and ability to work in a high-performing environment.

• PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.

• Some knowledge of video compression algorithms, such as ECM, VVC, HEVC, H.264, and AV1.

Qualifications:

• PhD or Masters degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. · 3+ years of experience in machine learning and AI, either in an academic or industry research lab.

• Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.).

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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.

Pay range:

$148,500.00 - $222,500.00