Job Properties
  • Job Type
    Full-time Position
  • Category
    Research & Science
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Amsterdam
    • Date Posted
      November 24,2021
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK
    • CV CHECK

    Wireless Machine Learning Researcher - Qualcomm Research, Amsterdam

    Company:

    Qualcomm Technologies Netherlands B.V.

    Job Area:

    Engineering Group, Engineering Group > Machine Learning Researcher

    General Summary

    We are a dedicated team working across multiple continents developing Qualcomm’s core AI capabilities. Our projects lie on the spectrum from fundamental to applied research, including research areas such as model efficiency, computer vision, personalization, combinatorial optimization, data compression and wireless.

    For our wireless machine learning teams, we are looking for Deep Learning researchers specialized in RF sensing, wireless communication, wireless perception, and RF/GNSS positioning.

    As a Deep Learning Researcher at Qualcomm, your role involves testing hypotheses, quickly iterating on promising ideas, and prototyping and implementing these ideas in collaboration with other researchers and software engineers. You stay up to date with the latest research in the field, develop new ML models and algorithms, and publish papers at scientific conferences. You engage with product teams to see your ideas applied to Qualcomm’s core business and deployed on millions of Qualcomm-powered devices from mobile phones to autonomous vehicles.


    Working at Qualcomm means being part of a global company (headquartered in San Diego) that fosters a diverse workforce and puts emphasis on the learning opportunities and professional development of its employees. You will work closely with researchers that have published at major conferences, work on campus at the University of Amsterdam, where you have the opportunity to collaborate with academic researchers through university partnerships, such as the QUVA lab, and live in a scenic, vibrant city with a healthy work/life balance and a diversity of cultural activities.

    In addition, you can join plenty of mentorship, learning, peer, and affinity group opportunities within the company. In this way you can easily develop personal and professional skills in your areas of interest. You’re empowered to start your own initiatives and, in doing so, collaborate with colleagues in offices across teams and countries.


    Minimum qualifications:
    • Master’s degree or PhD in Electrical Engineering, Computer Science, Artificial Intelligence, Physics, Applied Mathematics or similar field, or equivalent practical experience
    • Experience using machine learning tools and packages (PyTorch, TensorFlow, Jax)
    • Eager to apply machine learning to the latest research challenges in wireless communication, sensing, and positioning
    • Strong coding skills and programming experience in Python or C++

    Preferred qualifications:
    • Experience working in an academic or industry research lab
    • Hands-on experience with large wireless signal datasets (or other non-camera signals) and machine learning
    • Track record of publishing at major conferences and journals (ICC, GlobeCom, MobiCom, Infocom, RadarConf, IEEE Transactions on Wireless Communications, IEEE Transactions on Sensor Networks, as well as other premier machine learning, AI, and perception venues)

    Minimum Qualifications

    Education:

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    Preferred Qualifications

    Education:

    Work Experiences:

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    *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.

    Applicants : If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.

    To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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

     
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