Permanent Role
Location: Cambridge
Hybrid Policy: 3 days onsite and 2 days working from home weekly
Role and Responsibilities
As an AI Research Scientist, you will be part of a dynamic team working on next:generation machine learning technologies for real:world deployment on consumer devices. Your role will involve:
:Driving research and development in areas such as on:device large language and vision:language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems.
:Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices.
:Collaborating closely with cross:functional teams across research and product engineering to transition ML innovations from prototypes into production.
:Designing and developing novel machine learning algorithms and system:level optimizations that enable scalable, high:performance AI experiences on:device.
:Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale.
:Preparing technical documentation, contributing to publications, and supporting the creation of patents.
:Working in a collaborative, growth:oriented environment that values knowledge sharing, innovation, and personal development.
We are looking for curious, motivated individuals who thrive in a team setting and are eager to develop innovative AI systems that will have real:world impact.
Skills and Qualifications
Education and Experience:
:PhD in Computer Science, Electrical Engineering, or a related field; or equivalent research experience in industry or academia.
:Open to applicants across a range of seniority levels with relevant expertise.
Core Skills:
:Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
:Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation).
:Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs.
:Hands:on experience with multi:GPU or distributed training at scale.
:Strong programming skills in Python, C/C++, and familiarity with Linux:based systems.
:Competency with tools such as Git and GitHub for version control and collaboration.
:Strong teamwork and communication skills.
Desirable:
:A strong publication record in top:tier conferences (e.g., NeurIPS, ICLR, ICML, MLSys, MobiSys, ICCAD, MobiCom).
If you are interested if you can please apply below or send your CV to