Research Scientist - Machine Learning & AI Systems - Cambridge, Hybrid
Are you a passionate AI researcher looking to work at the forefront ofon-device and edge-based machine learning (ML) systems? Join a world-class team driving innovation inLLMs, VLMs, and adaptive inference methodsfor real-world applications in consumer devices.
About the Role:
As aResearch Scientist, you will contribute tocutting-edge ML research and commercialization efforts, focusing onefficient AI deploymentfor embedded and mobile devices. You will work withcross-functional teamsto shape the future of AI-driven products, balancingdeep research with hands-on development.
Key Responsibilities:
Conduct research inon-device LLM/VLM optimization, adaptive inference, and mobile ML systems
Collaborate withproduct teamsto integrate ML solutions into real-world consumer devices
Design and developefficient AI algorithms, pushing the boundaries ofmodel/system co-design
Publish intop-tier AI conferencesand contribute topatents and technology transfers
Work in adiverse, highly skilled teamspanning ML, embedded systems, and robotics
Key Requirements:
✔PhD in Computer Science, Electrical Engineering, or related field(or equivalent research experience)
✔ Strong expertise inML frameworks(PyTorch, TensorFlow, JAX) andefficient ML techniques(quantization, pruning, distillation, etc.)
✔ Experience inon-device ML deployment(mobile CPU, GPU, NPU) anddistributed multi-GPU training
✔ Fluency inPython, C/C++, Linux,and proficiency withGit/GitHub
✔ Solidpublication recordin top-tier venues (NeurIPS, ICLR, ICML, MLSys, MobiSys, etc.)
✔ Team-oriented mindset with apassion for innovation and problem-solving
Desirable Skills:
➕ Experience inreal-world mobile system deployment
➕ Research background inGenerative AI (language, visual, or multimodal tasks)
➕ Experience withAndroid OS and app development
This is an exceptional opportunity toshape the future of AI-driven consumer technology, working on high-impact projects that blendresearch excellence with commercial applications.
Apply now to be part of a pioneering team pushing the boundaries of AI innovation!
