AI Research Scientist

Permanent Role

Location: Cambridge

Hybrid Policy: 3 days onsite and 2 days working from home weekly

Role and Responsibilities

As anAI 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 & 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