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Research Scientist - AI/ML - Mobile

European Tech Recruit
Cambridge
7 months ago
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Research Scientist -Machine Learning

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Research Scientist (Machine Learning), London

Research Scientist (Machine Learning)

Research Scientist, Machine Learning (PhD) London, UK • Software Engineering +1 more • Engineer[...]

Senior Research Scientist: Data Science and Machine Learning AIP

Location:Cambridge, UK (Hybrid: 2 days remote per week)


A major tech company is seeking aResearch Scientistto join its AI research team in Cambridge. This role offers the opportunity to work at the forefront of AI and machine learning, contributing to research and commercialization efforts in areas such ason-device LLMs and VLMs, adaptive inference methods, and mobile ML systems.


Key Responsibilities:

  • Conduct cutting-edge research within the team’s focus areas and help shape future research directions.
  • Develop innovative machine learning algorithms and systems that push the boundaries of current technology.
  • Collaborate closely with cross-functional product teams and on-site researchers to integrate ML solutions into consumer devices.
  • Translate research findings into practical applications, contributing to AI technologies used by millions of users.
  • Document research, publish in top-tier conferences, and contribute to patent applications.
  • Work in a highly collaborative environment that values continuous learning, innovation, and teamwork.


Required Skills & Experience:

  • PhD in Computer Science, Electrical Engineering, or a related field (or equivalent research experience in academia/industry).
  • Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience in efficient ML techniques (e.g., quantization, pruning, distillation).
  • Experience deploying ML models on embedded/mobile devices (smartphones, mobile CPUs/GPUs/NPUs).
  • Knowledge of distributed and multi-GPU training at scale.
  • Strong programming skills inPython, C/C++, and Linux.
  • Familiarity withGit/GitHubfor version control.


Bonus Skills (Nice to Have):

  • A strong publication record in top AI/ML conferences (e.g., NeurIPS, ICLR, ICML, MobiCom, MobiSys, ICCAD, MLSys).
  • Experience with real-world mobile system deployment.
  • Research in efficient Generative AI (language, visual, or multimodal tasks).
  • Hands-on experience with Android OS and Android app development.


This is a fantastic opportunity towork on groundbreaking AI researchwhile seeing your work directly impact next-generation consumer devices. If you’re passionate about ML innovation and eager to contribute tostate-of-the-art AI deployment, apply now!


Interested to know more?

Apply here with your CV .


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