Senior Applied Scientist

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The Azure AI Speech Group brings together talents in the areas of signal processing, speech modeling, statistical modeling and Deep Learning to develop and deliver robust, natural and scalable speech recognition and translation, across a rich set of scenarios and languages. 

As a science team in the Speech Group, we industrialized deep learning speech technologies, and contributed key innovations to the speech community. We work on all kinds of end-to-end speech technologies, targeting on the most challenging problems by inventing new algorithms. To that end, we welcome a Senior Applied Scientist who is passionate at innovating the state-of-the-art speech modeling technologies, which impact millions of users.

.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. 

Required Qualifications:

• Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications:

• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Master'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 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.
• 2+ years experience presenting at conferences such as Automatic Speech Recognition and Understanding (ASRU) International Conference on Acoustics Speech and Signal Processing (ICASSP), Interspeech or other events.
  research/industry community as an invited speaker.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 January 20, 2025.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

Your responsibilities include developing novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios, especially in integrating speech with LLM for multimodal modeling.  

• Helps address scalability problems by adjusting to stakeholder needs.
• Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models.
• Applies the model to real products, and then verifies effects through iterations.
• Experiments by putting multiple models in production and evaluating their performance. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails.
• Embody our culture and values