Deep Learning Researcher - Qualcomm Research, Amsterdam

Key Skills

Aartificial intelligence, Algorithms, Deep Learning, Design, JAX framework, Machine learning techniques, NeurIPS, Optimization, Python Programming, PyTorch, TensorFlow

Job Description

As Deep Learning Researcher at Qualcomm, you develop and quickly iterate on innovative research ideas, and prototype and implement them in collaboration with other researchers and software engineers. You stay up to date with the latest research in the field and publish papers at scientific conferences. You create impact and engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles.

Our projects include the following research areas:

• Power efficiency: Neural network design, compression, quantization, algorithms, efficient hardware, and conditional computation
• Generative vision: Deep generative modeling using efficient architectures and algorithms for image and video generation.
• Distributed & federated learning: Distributed training, continuous learning, model adaptation, and privacy-preserving federated learning
• Wireless AI: Machine learning design for wireless communication and sensing, wireless perception, learning on edge-device, inverse problems, weakly/semi-supervised learning
• Combinatorial optimization: Solving optimization problems using reinforcement learning and graph neural networks
• Causality and Interactive Learning: Causal representation learning, interactive causal discovery, (hierarchical) reinforcement learning & skill/affordance learning
• Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning

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 Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience
• Experience in deep learning or reinforcement learning
• Ability to formulate research problems and design, experiment and implement solutions
• Programming experience in Python and hands-on experience with deep learning toolkits such as PyTorch, TensorFlow, Jax

Preferred qualifications:

• Track record of publishing at major conferences in machine learning (NeurIPS, ICML, ICLR, CVPR, etc.)
• Experience working in an academic or industry research lab

Minimum Qualifications:

• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

*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.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.