Machine Learning Researcher - Internship - #1685445
Qualcomm
Date: 12 hours ago
City: London
Contract type: Full time
Work schedule: Full day

Company
Qualcomm Technologies International Ltd
Job Area
Interns Group, Interns Group > Interim Intern
General Summary
We are offering 6-month research internships for outstanding PhD students to explore breakthrough ideas at the intersection of brain-inspired computing and modern Deep neural network . As an intern, you will collaborate with our world-class team of researchers and engineers, developing novel algorithms and systems and contributing to impactful publications. You’ll gain access to cutting-edge infrastructure and be immersed in a multidisciplinary environment .
Focus Research Areas
In this cycle, we are particularly seeking applicants with interests and expertise in the following areas:
Brain-Inspired Machine Learning Algorithms
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.
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.
3074914
Qualcomm Technologies International Ltd
Job Area
Interns Group, Interns Group > Interim Intern
General Summary
We are offering 6-month research internships for outstanding PhD students to explore breakthrough ideas at the intersection of brain-inspired computing and modern Deep neural network . As an intern, you will collaborate with our world-class team of researchers and engineers, developing novel algorithms and systems and contributing to impactful publications. You’ll gain access to cutting-edge infrastructure and be immersed in a multidisciplinary environment .
Focus Research Areas
In this cycle, we are particularly seeking applicants with interests and expertise in the following areas:
Brain-Inspired Machine Learning Algorithms
- Development of neuromorphic approaches that draw from neuroscience to enable adaptive, efficient, and robust learning systems.
- Exploration of biologically plausible learning dynamics for continual learning ,sparse coding and low power machine learning implementation.
- Researching structured and interpretable SSM-based architectures as scalable alternatives to Transformers in sequence modeling.
- Hybrid frameworks combining SSMs with large language models (LLMs) to improve computational efficiency , memory utilization , and inference latency.
- Designing compact and energy-efficient SNNs suitable for neuromorphic hardware.
- Investigating training methods and encoding schemes to support on-device learning and ultra-low-power inference.
- Prototype and evaluate new machine learning architectures or algorithms.
- Contribute to publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML).
- Work closely with mentors on applied and theoretical research problems.
- Help translate research insights into future Qualcomm technologies.
- Currently enrolled in a PhD program in Machine Learning, Neuroscience , Brain-Inspired Computing, Artificial Intelligence, or a related field.
- Strong publication record or demonstrable research impact.
- Experience with Python,Matlab and large-scale experimental workflows.
- Background in neuromorphic computing, SNNs, or alternative sequence modeling frameworks is highly desirable.
- 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.
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.
3074914
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