Staff Engineer, Machine Learning Engineering (Qualcomm AI Research, Amsterdam)

Company

Qualcomm Technologies Netherlands B.V.

Job Area

Engineering Group, Engineering Group >

Machine Learning Engineering

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.

Join Qualcomm’s AI Research team in Amsterdam and design and implement highly optimized machine learning solutions for generative AI, in collaboration with a multi-disciplinary team of researchers and engineers.

What you will do

As Staff Machine Learning Engineer at Qualcomm AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research‑oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices. Your role will involve rapid prototyping, large‑scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency. You will also contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment. Candidates should have strong experience with the Python and PyTorch tech stack and a solid understanding of model quantization techniques. Proficiency in C++ and Android development and hands‑on experience working with embedded platforms is a big plus. Successful applicants will be creative, enthusiastic innovators who are equally comfortable with researching new technologies and implementing code for robust prototypes.

Requirements

• Excellent Python programming skills demonstrated through relevant industry or academic experience
• Proven experience with machine learning and frameworks such as PyTorch and hands‑on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines
• Proven experience with embedded computing and / or the Android platform, and a solid understanding of C++
• Background in software development, incl. testing, debugging, and test‑driven development
• Ability to work in a multi‑site software organization

Preferred Qualifications

Education Requirements

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.

The role is based out of our Amsterdam office, and we are not seeking remote‑based candidates.

Minimum Qualifications

Equal Opportunity Employment

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.

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