AI Research Scientist

Samsung Electronics UK; Cambridge; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

Samsung Electronics UK is seeking an AI Research Scientist to join their team in Cambridge. The ideal candidate will conduct research on advanced machine learning algorithms, focusing on deployment in consumer devices. This role requires a PhD in a relevant field and experience in ML frameworks, as well as hands-on development skills.

Benefits

Highly competitive salary

Performance bonus up to 10%

25 days holiday + Bank Holidays

Life assurance

Medical insurance

Income protection

Flexible benefits scheme

Samsung product discounts

Qualifications

• PhD with research experience in ML is crucial.
• Experience with ML deployment on embedded systems is significant.
• Publication record in top venues preferred.

Responsibilities

• Contribute to research on on-device LLM and VLM technologies.
• Collaborate with teams to integrate ML solutions into devices.
• Design innovative machine learning algorithms and systems.

Skills

Machine Learning frameworks

Python

C/C++

GNU Linux

Team collaboration

Education

PhD in CS/EE

Tools

Git

GitHub

Job description

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Position Summary

At the Samsung AI Center-Cambridge, our Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs).

Position Summary

At the Samsung AI Center-Cambridge, our Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs).

Our team is characterized by its diverse backgrounds and expertise, ranging from pure machine learning and mobile/embedded systems to computer architecture and robotics, with strong emphasis on combining excellent research skills with hands-on development abilities. This diversity has enabled us to develop groundbreaking cross-stack ML systems and algorithms. Throughout our projects, we maintain strong ties with close-to-product teams, contributing to commercialization goals and ensuring our research has a tangible impact for Samsung through successful tech transfers and numerous patent applications. At the same time, our work is consistently and widely recognized, with multiple papers published in top-tier international conferences and journals.

Role And Responsibilities

As a Research Scientist you will:

• Contribute to research and commercialization efforts for Samsung AI Centre in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems.
• Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it.
• Collaborate closely with cross-functional product teams, as well as on-site research teams, to integrate ML solutions into consumer devices.
• At the core of our efforts is innovation, as you will design groundbreaking machine learning algorithms and systems that extend the capabilities of current technology.
• You will translate research findings into practical applications, contributing to the commercialization of AI technologies across millions of Samsung devices.
• Additionally, you will prepare comprehensive documentation, research papers, and contribute towards patent applications.
• You will work alongside team members with varying levels of experience in a collaborative and continuous learning environment, with a strong focus on individual development throughout our work. In our group, we highly value and require an open and cooperative mindset and seek determined individuals who are committed to obtaining new knowledge and producing high-quality work.
  
  
  

Skills And Qualifications

Education and experience:

• PhD in CS/EE or related research experience in academia or industry
• We will consider various levels of experience in relevant research areas
  
  
  

Key Skills:

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

Any of the following skills will also be positively considered:

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

Contract Type: Permanent

Location: Cambridge, UK

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

Employee Benefits: Highly competitive salary, performance bonus up to 10%, 25 days holiday + Bank Holidays, life assurance, medical insurance, income protection, flexible benefits scheme with £600 annually to spend on them and Samsung product discounts

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

• Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here: https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computers and Electronics Manufacturing

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