Research Scientist

Research Scientist – AI & Machine Learning

Location - Cambridge

Permanent - Hybrid

As a Research Scientist, you will:

• Contribute to research and commercialization efforts in areas such as on-device LLMs and VLMs, adaptive inference methods, and mobile ML systems.
• Conduct cutting-edge research within the group’s existing agenda while also helping shape its direction.
• Collaborate closely with cross-functional product teams and on-site research teams to integrate ML solutions into consumer devices.
• Drive innovation by designing groundbreaking machine learning algorithms and systems that push the boundaries of current technology.
• Translate research findings into practical applications, supporting the commercialization of AI technologies across millions of devices.
• Prepare comprehensive documentation, research papers, and contribute to patent applications.
• Work alongside team members with varying levels of experience in a collaborative, continuous learning environment, fostering individual growth.
• Maintain an open and cooperative mindset, bringing a strong commitment to acquiring new knowledge and delivering high-quality work.

Education and Experience:

• PhD in Computer Science, Electrical Engineering, or a related field, or equivalent research experience in academia or industry.
• Candidates with various levels of experience in relevant research areas will be considered.

Key Skills:

• Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML techniques (quantization, pruning, sparsification, distillation, etc.).
• Experience with deployment on embedded/mobile devices (e.g., smartphones with mobile CPU, GPU, NPU).
• Expertise in distributed and multi-GPU training at scale.
• Proficiency in Python, C/C++, and GNU Linux.
• Strong understanding of code version control (Git, GitHub).
• Experience working in collaborative team environments.
• Solid publication record in top-tier venues such as NeurIPS, ICLR, ICML, MobiCom, MobiSys, ICCAD, or MLSys.

Preferred Qualifications:

• Experience in real-world mobile system deployment.
• Research experience in efficient Generative AI, including language, visual, or multimodal tasks. This includes various pipeline aspects such as data preprocessing, large model adaptation, fine-tuning, and on-device optimization.
• Familiarity with the Android operating system and Android app development.

If interested please apply below.