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User Researcher jobs in South Africa

Researcher/Senior Researcher in Computer Vision and Machine Learning

Researcher/Senior Researcher in Computer Vision and Machine Learning
Samsung Electronics America
Cambridge
GBP 50,000 - 75,000
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Senior Scientist - Physico Chemical Testing

Senior Scientist - Physico Chemical Testing
Labcorp
Eye
GBP 35,000 - 50,000

Analytical Scientist

Analytical Scientist
Viatris
Stone Cross
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Biomedical Scientist

Biomedical Scientist
KIMS Hospital
Grove Green
GBP 33,000 - 55,000

Principal Data Scientist - Gram Games

Principal Data Scientist - Gram Games
ZYNGA INC
London
GBP 70,000 - 120,000
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Clinical Research Associate - monitoring experience required

Clinical Research Associate - monitoring experience required
ICON plc
United Kingdom
GBP 30,000 - 45,000

Principal Data Scientist - Gram Games

Principal Data Scientist - Gram Games
2K
London
GBP 70,000 - 100,000

Research Associate (Data Science) (Fixed Term)

Research Associate (Data Science) (Fixed Term)
Cencora | Pharma solutions
Cambridge
GBP 34,000 - 40,000
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Lead Data Scientist - Model Risk Management

Lead Data Scientist - Model Risk Management
Experian Group
London
GBP 70,000 - 120,000

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Research Scientist: Data Science and Machine Learning AIP
BAE Systems
Chelmsford
GBP 50,000 - 80,000

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Researcher/Senior Researcher in Computer Vision and Machine Learning

Samsung Electronics America
Cambridge
GBP 50,000 - 75,000
Job description

Position Summary

Samsung AI Centre Cambridge was established in 2018 and it is an ambitious independent research centre targeting "Human-Centric AI" to enrich peoples’ lives using AI technologies.

We are seeking full-time, permanent Researchers in Computer Vision and Deep Learning to join the Future Interaction program. As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges of particular interest by Samsung. While the target is mid- to long-term research, upon maturity of the research, the team is expected to transfer the technology to product divisions and their Engineering teams, which will then be in charge of driving the commercialization.

Role and Responsibilities

We have 1 position open 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-trained and 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.

Skills and Qualifications

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

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

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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