Research Scientist
On-siteCambridge, England, United Kingdom
Job Summary
Research and develop world models enabling AI agents to understand, simulate, and reason about complex environments through model-based learning experiments. Design groundbreaking machine learning algorithms for on-device LLM and VLMs, adaptive inference methods, and mobile ML systems, balancing foundational research with commercialization goals. Collaborate with cross-functional product teams to integrate ML solutions into consumer devices and translate findings into practical applications. Prepare comprehensive documentation, research papers, and contribute to patent applications while maintaining an open, cooperative mindset within a diverse team focused on individual development.
Required Qualifications
- PhD in CS/EE or related research experience in academia or industry
- 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
- 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
- Must not disclose any trade secrets of a previous employer
Desired Qualifications
- 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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