At a Glance
- Tasks: Research and develop AI models that help machines understand complex environments.
- Company: Join a leading tech giant focused on innovation and cutting-edge AI research.
- Benefits: Competitive salary, health benefits, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and potential for groundbreaking discoveries.
- Why this job: Make a real impact by shaping the future of AI technology used in millions of devices.
- Qualifications: PhD in CS/EE or relevant experience; strong skills in machine learning frameworks.
The predicted salary is between 63000 - 77000 £ per year.
Responsibilities
- Research and development of world models that enable AI agents to understand, simulate, and reason about complex environments.
- Design and run experiments at the frontier of model-based learning, contributing to foundational research that shapes how AI agents perceive and interact with the world.
- This role requires a strong background in machine learning, a passion for tackling open-ended research problems, and the drive to build systems.
- Contribute to research and commercialization efforts 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 Samsung devices.
- Additionally, you will prepare comprehensive documentation, research papers, and contribute towards patent applications.
Skills and Qualifications
Education and Experience
- Ph D 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 (Py Torch, Tensor Flow, 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 Git Hub
- Experience in working as member of a team
- Solid publication record of papers in top-tier venues, such as Neur IPS/ICLR/ICML/Mobi Com/Mobi Sys/ICCAD/MLSys
- Additional Skills
- 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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Machine Learning Researcher in Cambridge employer: microTECH Global LTD
Microtech Global Ltd is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, UK, where innovation thrives. Employees benefit from engaging in pioneering projects like OpenTitan and Ibex RISC-V CPU, alongside opportunities for professional growth and collaboration with industry leaders. With a focus on cutting-edge technology and a supportive environment, this role is perfect for those seeking meaningful and rewarding employment in digital design verification.
We think you need these skills to ace Machine Learning Researcher in Cambridge
Machine Learning
Research and Development
Model-Based Learning
On-Device LLM
VLMs
Adaptive Inference Methods
Mobile ML Systems
