Applied Science Intern

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

Microsoft is looking for PhD students for an Applied Science Research Intern role in the UK, focusing on cutting-edge AI research including LLMs, VLMs, and Generative Image/Video. This hybrid role offers the opportunity to contribute to real-world projects and gain expertise in advanced AI technologies.

Responsibilities

Conduct research in Agentic ML, LLMs, VLMs, and Generative Image & Video.
Implement and evaluate novel approaches to model optimization and deployment, or identify and apply known ML approaches to novel product-related scenarios.
Design and implement experiments to test hypotheses and validate research findings.
Develop and optimize algorithms and models for various AI applications.
Collaborate with team members to integrate research outcomes into practical solutions.
Present research findings and contribute to publications and patents.

Requirements

Legally authorized to work in the United Kingdom.
Currently pursuing a PhD in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Must have at least one additional quarter/semester/term of school remaining following the completion of the internship.
At least one published paper in CVPR, ICML, ICLR, NeurIPS, WACV, AAAI.

Desired Qualifications

Strong communication and presentation skills.
A presentation of the applicant’s research will be part of the interview process.

Benefits

Opportunity to work on cutting-edge research in LLMs, VLMs, and Generative Image & Video.
Collaborate with experienced researchers and engineers.
Contribute to the advancement of AI technologies.
Work on real-world projects.
Build community and explore passions.
Gain expertise in state-of-the-art tools and research areas.

Skills

Large Language ModelsVision-Language ModelsGenerative ImageGenerative VideoMachine LearningData AnalysisModeling

#AI#Machine Learning#Research#Internship#LLM#VLM#Generative AI#Computer Vision

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