Intern Researcher Computer Vision Machine Learning jobs at Samsung in United Kingdom, Cambridge
Samsung Researcher/Senior Researcher Computer Vision Machine Learnin... United Kingdom, England, Cambridge
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Role and Responsibilities
We have1 positionopen in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:
Contrastively-trainedand auto-regressive Vision & Language (e.g. CLIP, BLIP).
Visual LLMs (e.g. LLaVA).
Generative Models (e.g. Stable Diffusion and Auto-Regressive models).
Efficient Architectures.
Model Compression (distillation, quantization).
Efficient Adaptation of Large Models.
Key Responsibilities:
Conduct hands-on innovative research, including methodological conceptualization and implementation.
Publishing at top venues:CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.
Contribute to the research agenda and directions within the center.
Interact with product and engineering teams for the purpose of technology transfer.
Key Skills Required:
Research experience in the fields of Computer Vision and/or Machine Learning.
Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.
A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).
Ability to communicate well and to collaborate with other group members.
Experience in the topics described above, or closely related topics, is a plus but not necessary.
What we offer:
An excellent research environment: autonomy to define a research agenda along the centre’s core lines, opportunities to collaborate with excellent researchers and to publish at top conferences.
Opportunity to transfer research into impact, and get your work reach millions of customers.
A top-tier package, on par with the top companies in the industry in Europe.
An excellent location at the heart of Cambridge, and at commute’s distance from London.
Hybrid working with 3 days onsite and 2 days working from home weekly
. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click :
These jobs might be a good fit
Samsung Intern Researcher Computer Vision Machine Learning United Kingdom, England, Cambridge
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Role and Responsibilities
Samsung AI Centre (AIC-Cambridge) are looking for exceptional interns to undertake a 6-month internship programme during 2025.
Future Interaction Lab:Vision & language, large scale model training, video understanding, image generation.
Embedded AI Lab:Efficient foundation model architectures, AutoML, Model compression, Speech Recognition and Generation, NPU Hardware design, diffusion models.
Machine Learning/Data Intelligence Lab:Meta-learning, In-Context Learning and LLMs, Neuro-Symbolic Learning, Neural Rendering.
Key Responsibilities:
Conduct cutting-edge research to develop state-of-the-art solutions to existing problems and/or propose novel research challenges considering real-world case studies in AI.
Publish in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, InterSpeech, etc.
Development of high quality code with detailed documentation to support reproducible research in local and international research communities in AI.
Essential Skills & Qualifications
Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing).
Good command of computing concepts (algorithms, data structures, parallel/distributed computing, optimization, etc).
Experience in quick prototyping using Python and PyTorch.
At least one first-author publication in top conferences and journals such as: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, InterSpeech, EMNLP, ACL, MobiComm, etc.
Desirable Skills
Experience and demonstrated output on Foundation Models research involving (visual) LLMs and/or Diffusion models.
Experience in software engineering & development in a professional environment. Experience with distributed GPU implementation of ML algorithms
Experience with on-device implementation of ML algorithms.
Experience in one or more of AIC-Cambridge topics of interest summarised above.
Contract Type:6 Month Internship
Hybrid Policy: 3 days onsite and 2 days working from home weekly
. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click :
These jobs might be a good fit
Share
Role and Responsibilities
We have1 positionopen in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:
Contrastively-trainedand auto-regressive Vision & Language (e.g. CLIP, BLIP).
Visual LLMs (e.g. LLaVA).
Generative Models (e.g. Stable Diffusion and Auto-Regressive models).
Efficient Architectures.
Model Compression (distillation, quantization).
Efficient Adaptation of Large Models.
Key Responsibilities:
Conduct hands-on innovative research, including methodological conceptualization and implementation.
Publishing at top venues:CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.
Contribute to the research agenda and directions within the center.
Interact with product and engineering teams for the purpose of technology transfer.
Key Skills Required:
Research experience in the fields of Computer Vision and/or Machine Learning.
Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.
A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).
Ability to communicate well and to collaborate with other group members.
Experience in the topics described above, or closely related topics, is a plus but not necessary.
What we offer:
An excellent research environment: autonomy to define a research agenda along the centre’s core lines, opportunities to collaborate with excellent researchers and to publish at top conferences.
Opportunity to transfer research into impact, and get your work reach millions of customers.
A top-tier package, on par with the top companies in the industry in Europe.
An excellent location at the heart of Cambridge, and at commute’s distance from London.
Hybrid working with 3 days onsite and 2 days working from home weekly
. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click :
These jobs might be a good fit
