Senior Deep Learning Researcher - Model Efficiency - Qualcomm - Amsterdam

We are seeking a talented Senior Deep Learning Researcher to join our Amsterdam-based Model Efficiency research team.

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., * 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., * Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.

• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.

• Conducts complex experiments to train and evaluate machine learning models and/or software independently.

Level of Responsibility:

• Works independently with minimal supervision.

• Decision-making may affect work beyond immediate work group.

• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.

• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).

• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.

*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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The ideal candidate will have a background in machine learning and 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 team., * 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., * Extensive experience in deep learning research and impactful 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., * 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. OR PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field.

• 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

• 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

• 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 2 + years experience working in a large matrixed organization.

• 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Qualcomm Technologies Netherlands B.V., 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., 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.