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From being able to log you in with face recognition, correct your gaze during a video chat to maintain eye contact, to the exciting possibilities in augmented reality, are you itching to play a part in bringing applications of machine learning to millions of users?

The **Microsoft Applied Sciences Group (ASG)** incubates disruptive technologies for Microsoft’s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user’s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by machine learning – and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping vision system: camera optics, sensors, data pipeline and of course, developing and implementing the algorithms that make magic happen!

The team is growing, and we have an exciting opportunity for talented **_Principal Applied Scientist_** to drive and lead implementation of state-of-the-art AI algorithms for specific and general-purpose silicon on next generation devices and operating systems. This is a hands-on team lead task. You will have collaboration opportunities throughout the organization and will be building new stuff that really works and has millions of users.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

+ Lead the engineering aspect of research, fine tune and optimize LLMs and transformer style models for local and Hybrid Inferencing

+ Contribute to the technical design, architecture, development, and evaluation of large language models.

+ Integrate LLMs and other large models to run on devices.

+ Collaborate with engineering and lead product development teams.

+ Contribute to a real-time system involving multiple components.

+ Plan feature integration timeline and roadmap to take prototypes to production.

+ Improve system quality through the design and implementation of new testing methodologies.

+ Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

+ OR equivalent experience.

+ 5+ years of experience in deep learning and its different toolkits particularly Pytorch or Tensorflow

+ 5+ years of Python and C++ (especially C++11 and newer) experience

+ 5+ years of experience with CI/CD pipelines with Azure Devops, Github/Gitlab, Jenkins/buildbot or similar, packaging and deployment.

+ 3+ years experience with model compression and optimization techniques particularly for large transformer style models

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

+ Experience in post training model optimization and quantization techniques such as GPTQ, LORA etc..

+ Experience in fine tuning efficient teacher architectures, fast LLM adaption, token sparsification, token-free LLMs.

+ Experience in fine-tuning models based on hugging face LLMs, BERT, GPT-3 or Llama.

+ Prototyping products with aim to create minimum viable products with existing tools and models.

+ Publication record in the areas of Machine Learning, Natural Language Processing in top-tier conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICLR).

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until May 23rd, 2025.

\#W+Djobs

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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .