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Research Scientist - Machine Learning & AI Systems - Cambridge, Hybrid
Are you a passionate AI researcher looking to work at the forefront of on-device and edge-based machine learning (ML) systems? Join a world-class team driving innovation in LLMs, VLMs, and adaptive inference methods for real-world applications in consumer devices.
About the Role:
As a Research Scientist, you will contribute to cutting-edge ML research and commercialization efforts, focusing on efficient AI deployment for embedded and mobile devices. You will work with cross-functional teams to shape the future of AI-driven products, balancing deep research with hands-on development.
Key Responsibilities:
?? Conduct research in on-device LLM/VLM optimization, adaptive inference, and mobile ML systems?? Collaborate with product teams to integrate ML solutions into real-world consumer devices?? Design and develop efficient AI algorithms, pushing the boundaries of model/system co-design?? Publish in top-tier AI conferences and contribute to patents and technology transfers?? Work in a diverse, highly skilled team spanning ML, embedded systems, and robotics
Key Requirements:
? PhD in Computer Science, Electrical Engineering, or related field (or equivalent research experience)? Strong expertise in ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML techniques (quantization, pruning, distillation, etc.)? Experience in on-device ML deployment (mobile CPU, GPU, NPU) and distributed multi-GPU training? Fluency in Python, C/C++, Linux, and proficiency with Git/GitHub? Solid publication record in top-tier venues (NeurIPS, ICLR, ICML, MLSys, MobiSys, etc.)? Team-oriented mindset with a passion for innovation and problem-solving
Desirable Skills:
? Experience in real-world mobile system deployment? Research background in Generative AI (language, visual, or multimodal tasks)? Experience with Android OS and app development
This is an exceptional opportunity to shape the future of AI-driven consumer technology, working on high-impact projects that blend research excellence with commercial applications.
Apply now to be part of a pioneering team pushing the boundaries of AI innovation!
