Senior Applied Scientist

AI, in particular LLMs, are ubiquitous nowadays. But there are many challenges from optimizing their on-device performance to building an agent ecosystem. Are you itching to play a part in bringing AI applications to millions? 

We are looking for a Senior Applied Scientist to take cutting edge AI features from incubation to productization. You will be part of a collaborative inter-disciplinary team of scientists, ML and SW engineers developing multi-modal models, libraries and applications for next-generation hardware platforms. You will be working with groups across the organization. 

The Microsoft Applied Sciences Group 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 rely on cutting edge hardware – and as part of this team, you will have the unique opportunity to work with a wide range of high-end consumer devices.

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

• Develop/implement model quantization, compression, fine-tuning techniques. 
• Implement Python and C++ libraries and test applications for efficient use of on-device NPUs to boost LLMs and other models. 
• Engage with external teams and partners to push innovation efforts. 
• Establish validation and prototyping tools and procedures. 

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND solid 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 related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Must be self-motivated, proven collaborators, good communicators, attentive to details, and keen to learn.  
• Must have significant ML engineering or ML research experience.

Preferred Qualifications: 

• Must have solid C++, Python and git experience.  
• Experience of model optimization for NPUs.  
• Experience with AML/ADO pipelines. 
• Knowledge of ML model optimization techniques. 
• Experience with embedded code or Windows SW development. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.