Principal Applied Scientist

We are currently seeking individuals for Principal and Senior Applied Scientist/Researcher positions, responsible for spearheading the implementation of cutting-edge AI algorithms in Generative Image and Natural Language Understanding/Generation on upcoming devices and operating systems. If your expertise matches any of these domains, we encourage you to submit your application

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Are you passionate about the vast possibilities of AI and its applications? Do you have the drive to shape and implement innovative solutions that will bring AI to millions of users? Microsoft's Applied Sciences Group is at the forefront of developing groundbreaking technologies for our next-generation hardware products. As a Principal Research Engineer, you will play a pivotal role in transforming our cutting-edge research into tangible applications and experiences for users worldwide.

Join our dynamic team, where you'll be entrusted with the responsibility of turning sophisticated machine learning models into optimized applications and APIs. With the rapid evolution of the AI ecosystem, each day brings unique challenges. Your expertise in software engineering, combined with your keen analytical skills, will be instrumental in navigating these challenges. Collaborate closely with a diverse, high-calibre team in a high-energy environment to deliver top-notch, maintainable solutions.

Qualifications We require you to be a hands-on researcher with excellent analytical skills and an intrinsic drive to overcome obstacles. You will need to be able to work closely with a diverse team to deliver high-quality, maintainable solutions in a dynamic environment.

A Ph.D. in Computer Science, Math, Physics, Statistics, or related areas or Candidates with master’s degree with relevant years of relevant industry experience.
Proven experience in deep learning and its different toolkits particularly Pytorch or Tensorflow.  Demonstrable years of Python and C++ (especially C++11 and newer) experience. Experience in applied machine learning research, with a focus on generative models such as GANs, VAEs, autoregressive models, and diffusion models. Record of publications in top-tier conferences or journals (CVPR, ICCV, ECCV, NeurIPS) Demonstrable experience leading top-tier teams in high-stakes academic or industrial research environments. Proven experience with CI/CD pipelines with Azure Devops, Github/Gitlab, Jenkins/buildbot or similar, packaging and deployment.

Additional or Preferred Qualifications: Experience with fine-tuning/training Diffusion Models, like Stable Diffusion. Proficient in Generative Adversarial Networks (GANs) and their applications in image synthesis and data augmentation.

Responsibilities Lead innovations in Large Language Models, Artificial Intelligence, Machine Learning, Computer Vision and Deep Learning Ensuring novel user experience involving finetuning of large foundation models, quantization and model architecture tuning for custom hardware. Collaborate closely with teams across Microsoft to define the next generation AI experience for windows customers. Mentor Applied Scientists and Software Engineers to build products, generate publications, blogs, and patents.

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