Applied Sciences Intern at Microsoft
Redmond, Washington, United States -
Full Time


Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, Python, Pytorch, Pytorch Lightning, Neural Networks, Deep Learning, Data Science, Multi-modal Data, Transformers, Diffusion, Flow-matching, Algorithmic Foundations of Optimization, Privacy

Industry

Software Development

Description
Experiment, benchmark and improve performance cutting-edge multimodal models on Gaming, multimodal applications. Implement prototypes of scalable and efficient multimodal models in gaming applications. Collaborate closely with team members on developing systems and models from prototyping to a future production deployment. Research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects. Required Qulifications: Currently pursuing a Doctorates or Master Degree in a relevant field, e.g., Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing. Must have at least one additional quarter/semester of school remaining following the completion of the internship Candidate must be enrolled in a full time PhD or Master's program in area relevant for the role during the academic term immediately before their internship. Experience creating, benchmarking, and training models using Python, Pytorch, and Pytorch Lightning. Experience (classroom or work related) in one or more areas of computer science, such as Natural LanguageUnderstanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc. One or more publications in top-tier conferences or Journals; e.g., NeurIPS, ICLR, CVPR, ICCV, ECCV, IJCV, TPAMI, NAACL, and EMNLP. Experience working with Multi-modal data (visual, audio, and language) and models (e.g., transformers, diffusion, flow-matching), etc.
Responsibilities
The intern will experiment, benchmark, and improve performance of cutting-edge multimodal models in gaming applications. They will collaborate closely with team members on developing systems and models from prototyping to future production deployment.
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