Machine Learning Researcher

Key Skills

Aartificial intelligence, C Programming, C++, Computer Graphics, Computer Vision (CV), Deep Learning, Machine learning techniques, NeurIPS, OpenGL, Python Programming, PyTorch, TensorFlow

Job Description

Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality.

The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python, C/C++ or OpenGL programming. The selected candidate will have responsibilities in one or more of the following areas:

• Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality (XR). This includes but not limited to facial animation, image restoration, image super-resolution, multi-view face and body 3D reconstruction, implicit representation of 3D head and body, hair simulation and 3D body pose estimation.
• Prototype solutions on mobile platforms for proof of concept and demonstration purposes, such as NN model training and testing, model quantization, C/C++ simulation implementation.
• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.

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.

OR

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.

OR

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

Must Have Qualification:

• Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
• 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.
• 5+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Solid Background in Computer Vision or Computer Graphics.
• Knowledge how to handle various 3D Data representations like meshes (Raw/Retopologized), Point Clouds and UV Maps.
• Solid background in machine/deep learning fundamental knowledges and mathematics.
• Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.)
• Proficiency in C/C++, OpenGL, or Python programming.

Preferred Qualifications:

• Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.
• Expertise in various networks architectures such as Generative Adversarial Networks, Diffusion, Variational Auto-Encoders, U-Nets, NeRF, and ResNets.
• Experience in 3D head and body reconstruction and synthesis, Hair Simulation, 3D body shape and pose estimation, and 3D clothes modeling and rendering.
• Experience in software development, incl. testing and debugging on mobile platforms, XR platforms or other embedded systems.
• Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.
• Excellent written and verbal communication skills.
• Track record of driving ideas from design through commercialization.
• Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems.
• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
• Team Player.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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:

$133,000.00 - $200,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!