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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!
