AI Research Scientist
Description
AI Research Scientist
Recruitment Consultant XXXX XXXXd
Contact Details [ inquiries@consultant.dev](mailto: inquiries@consultant.dev) [+44 (0) XXX-XXX-XXXX](tel:+44 (0) XXX-XXX-XXXX)
Posted 1 day ago
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
- 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
Industry AI & Machine Learning
Contract Type Permanent
Location United Kingdom
City Cambridge
Work Model hybrid
By applying to this role, you acknowledge that we may collect, store, and process your personal data on our systems.
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