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Principal Applied Scientist Reading, England
Job description
Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is cantered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.
To learn more about Microsoft’s mission, please visit: https://careers.microsoft.com/mission-culture
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.
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.
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.
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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.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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