AI Research Scientist

AI Research Scientist
 

Position Summary

Our AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across consumer devices. To this end, we focus on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs).

Role and Responsibilities

As a Research Scientist you will:
 

• Contribute to research and commercialization efforts for our clients AI Centre in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems.

• Conduct cutting-edge research within the existing group’s agenda as well as contribute towards shaping it.

• Collaborate closely with cross-functional product teams, as well as on-site research teams, to integrate ML solutions into consumer devices.

• At the core of our efforts is innovation, as you will design groundbreaking machine learning algorithms and systems that extend the capabilities of current technology.

• You will translate research findings into practical applications, contributing to the commercialization of AI technologies across millions of devices.

• Additionally, you will prepare comprehensive documentation, research papers, and contribute towards patent applications.

• You will work alongside team members with varying levels of experience in a collaborative and continuous learning environment, with a strong focus on individual development throughout our work. In our group, we highly value and require an open and cooperative mindset and seek determined individuals who are committed to obtaining new knowledge and producing high-quality work.

   

  Skills and Qualifications
   

  Education and experience:

• PhD in CS/EE or related research experience in academia or industry

• We will consider various levels of experience in relevant research areas

   

  Key Skills:

• Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.)

• Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU)

• Experience with distributed and multi-GPU training at scale

  Any of the following skills will also be positively considered:

• Experience in real-world mobile system deployment

• Research experience in efficient Generative AI, including language, visual or multimodal tasks. This includes different aspects of the pipeline, from data and preprocessing to large model adaptation, fine-tuning and on-device optimization.

• Android operating system and Android app development

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• Fluency in Python, C/C++ and GNU Linux

• Proficiency in code version control, Git and GitHub

• Experience in working as member of a team

• Solid publication record of papers in top-tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSys