Through your research, you create scientific as well as business impact, helping us develop impactful breakthroughs in AI Research. You engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, robots, AR/VR headsets, or automated vehicles.
You stay up to date with the latest advancements in AI and machine learning. You publish novel research findings in top-tier conferences and journals and engage with the academic community.
Requirements
You have a PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
You have proven experience in machine learning and deep learning, including hands-on experience developing and optimizing models, and are comfortable with all aspects of the research cycle.
You have programming experience in Python and hands-on experience with standard deep learning toolkits such as PyTorch or Jax. You write clean and maintainable code for research and advanced prototyping and follow best practices.
You have strong problem-solving abilities and a collaborative mindset.
Preferred Qualifications
Extensive experience in deep learning research and impactful first-author publications in top-tier machine learning conferences and journals (NeurIPS, ICML, ICLR, CVPR, etc.) are a strong plus.
Prior experience with efficiency related topics such as quantization, compression or hardware accelerators for neural networks is a plus, but not a necessity for this role.
Experience working with a variety of stakeholders and ability to communicate complex outcomes to a wide range of audiences.
Prior experience working in industrial research and/or technology leadership experience are a strong plus.
The role is based out of our Amsterdam office, and we are not seeking remote-based candidates.
Why Join Us
At Qualcomm AI Research, you will be part of a team with a wide range of backgrounds that values innovation and creativity. Our commitment to professional growth and development ensures that all team members can thrive and contribute their unique perspectives to making research and business impact.
You will be part of a global company (headquartered in San Diego) and work closely with exceptional researchers and engineers that publish at major conferences.
Additionally, you will be based in Amsterdam, a scenic, vibrant city known for its picturesque canals, rich history, and dynamic cultural scene, making it a wonderful place to live and work.
Minimum Qualifications
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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If you would like more information about this role, please contact Qualcomm Careers.
