Senior Machine Learning Engineer (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 Senior Machine Learning Engineer at Qualcomm AI Research, you will be working directly with various ML research teams. As part of your work, you will implement algorithms, perform experiments, and help create and implement ML research related software that will be used by researchers and engineers throughout the company.

Your work will involve rapid prototyping, large-scale experimentation, and fast iteration, while keeping an eye on good code quality, maintainability, and efficiency.
 

Working at Qualcomm means being part of a global company that values diversity and professional development. You will collaborate with top researchers, work on campus at the University of Amsterdam, and enjoy a vibrant city with a healthy work/life balance. You'll find numerous mentorship and learning opportunities within Qualcomm, allowing you to grow personally and professionally.

Successful applicants will be creative, enthusiastic innovators who are equally comfortable with researching new technologies and implementing code for robust prototypes.

Minimum Qualifications

• Excellent Python programming skills demonstrated through relevant industry or academic experience
• Proven experience with machine learning and frameworks such as PyTorch
• Hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines
• Background in software development, incl. testing, debugging, and test-driven development
• Ability to work in a multi-site software organization

Preferred Qualifications

• Experience in implementing algorithms and solutions based on the latest ML research
• Experience in performance optimization and efficient implementation
• Experience in unit test frameworks and static analysis tools
• Familiarity with containerization tools such as Docker and Kubernetes
• Familiarity with setting up continuous integration infrastructure such as GitHub Actions or GitLab CI
• Familiarity with full-stack Android development
   

Education Requirements 

• M.S. in computer science, electrical engineering, robotics, or a related field

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.
OR
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.

*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 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.