Company:

Qualcomm Technologies Netherlands B.V.

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we're pushing the boundaries of what's possible and shaping the future of AI.

Job Summary:

We are seeking a talented Senior Deep Learning Researcher to join our team. The ideal candidate will have a background in deep learning with proven academic and/or industrial research experience, and a passion for pushing the boundaries of AI technology. You will have the opportunity to work on cutting-edge projects as part of our Amsterdam-based research teams. We are currently looking for candidates to join our Model Efficiency team.

Model Efficiency:The team’s mission is to do research that pushes the frontier of on-device efficiency. We focus on developing novel techniques to optimize LLMs and LVMs, including model quantization and compression, efficient data types, conditional compute and inference time compute. The team pushes the state-of-the-art to make modern foundation models more efficient and deployable on edge devices, ensuring best performance with minimal resource usage.

Key Responsibilities:

• You conduct research and develop and quickly iterate on innovative deep learning-based models and algorithms. You design, experiment, and implement novel solutions that advance the state-of-the-art for inference efficiency, in close collaboration with other researchers and engineers.
• 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, AR/VR headsets, or autonomous 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 deep learning and machine learning research, 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 Py Torch 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 publications in top-tier machine learning conferences and journals (NeurIPS, ICML, ICLR, etc.).
• 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).

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.

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If you would like more information about this role, please contact Qualcomm Careers.