Senior Machine Learning Engineer (Qualcomm AI Research, Amsterdam)

Qualcomm; Amsterdam; On-site; EUR 60,000 - 85,000; Full time

Job summary

Qualcomm is seeking a Senior Machine Learning Engineer to join its AI Research team in Amsterdam. You will design and implement optimized machine learning solutions for generative AI while collaborating with a multi-disciplinary team of researchers and engineers.

Your key responsibilities involve rapid prototyping, conducting experiments, and developing software tools aimed at deploying AI models on embedded devices. The ideal candidate will have strong experience in Python and PyTorch, with additional skills in C++ and Android development.

Qualifications

• Excellent Python programming skills demonstrated through relevant industry or academic experience.
• Proven experience with machine learning and frameworks such as PyTorch.
• Proven experience with embedded computing and/or the Android platform.

Responsibilities

• Implement algorithms and conduct experiments with ML research teams.
• Develop research-oriented software tools and prototypes.
• Contribute to comprehensive system design and engineering efforts.

Skills

Python programming

Machine learning frameworks (PyTorch)

Embedded computing

C++

Android development

Education

PhD or M.S. in computer science or related field

B.S. in related field

Tools

PyTorch

Deep learning frameworks

Job description

Company

Qualcomm Technologies Netherlands B.V.

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 Senior Machine Learning Engineer at Qualcomm AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, and 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

• Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques
• Proven hands‑on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
• Experience with optimization of algebraic operations in algorithms for HW cores
• Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
• Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure

Education Requirements

• PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.

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

*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.

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.

Equal Opportunity

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‑[e-mail] or call Qualcomm's toll‑free number. 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.