Senior Applied Scientist - CoreAI Speech

Microsoft • Redmond, WA

9d

About The Position

The CoreAI 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 technologies, 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 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.
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.
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.

Requirements

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• 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.

Responsibilities

• Develop 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.
• Help address scalability problems by adjusting to stakeholder needs.
• Work 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.
• Experimenting by putting multiple models in production and evaluating their performance.
• Continuing to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level