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Senior/AI Research Scientist

JR United Kingdom

Cambridge

On-site

GBP 80,000 - 100,000

Full time

26 days ago

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An established industry player is seeking an AI Research Scientist to join their dynamic team in Cambridge. This role involves pioneering research in on-device large language models and mobile machine learning, influencing the future of consumer technology. The ideal candidate will have a PhD in a STEM field and a track record of impactful publications. You will work collaboratively to develop innovative algorithms and translate research into applications that reach millions. If you are passionate about pushing the boundaries of technology and thrive in a learning-focused environment, this opportunity is perfect for you.

PhD required in a STEM-related subject with experience in LLMs.
Strong publications in top academic conferences/journals.

Contribute to research focusing on on-device LLMs/VLMs and mobile ML.
Collaborate with teams to integrate ML into consumer devices.

LLMs experience

VLM or Multimodal experience

Experience deploying on-device

Excellent communication skills

PhD in a STEM-related subject

We are collaborating with a well-known tech company looking to hire an AI Research Scientist in their central Cambridge office.

ROLE AND RESPONSIBILITIES

Contribute to research and commercialization focusing on on-device LLMs/VLMs, adaptive inference, and mobile ML.
Conduct cutting-edge research and help shape the group's agenda.
Collaborate with cross-functional and on-site research teams to integrate ML into consumer devices.
Design innovative ML algorithms that push technological boundaries.
Translate research into practical applications, impacting millions of devices.
Contribute to patents, publications, and comprehensive documentation.
Work in a collaborative, learning-focused environment that values openness and high-quality output.

SKILLS AND EXPERIENCE

Required

LLMs experience is required
VLM or Multimodal experience is beneficial
Candidates must have experience deploying on-device or optimizing efficiency/computing memory
PhD is required in a STEM-related subject
Publications in top academic conferences/journals
Excellent communication skills with proven experience working with stakeholders

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