Principal Applied Scientist
Microsoft
Principal Applied Scientist
Job Description
We are developing the Intelligent Conversation and Communications Cloud (IC3) to support Microsoft’s real-time conversation products like Teams, serving millions of users with dependable audio, video calls, meetings, and chat services. We also offer our core features to third-party partners to enhance their products. IC3 aims to make conversations smarter by providing real-time information and automating actions during interactions. Each call, meeting, or chat will make future conversations better.We are looking for a Principal Applied Scientist to join our team! 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.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States (Remote)
Salary
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required 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. (degree)
- 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) (degree)
- 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) (degree)
- OR equivalent experience. (degree)
- 6+ years of experience in development/deployment of machine learning algorithms. (degree)
- At least 1 year of experience managing or mentoring technical contributors. (degree)
- Strong verbal and written communication skills, with the ability to explain complex ideas clearly to technical and non-technical audiences. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- Experience contributing code to production systems or shipped products. (degree)
- Hands-on experience building and maintaining production-grade ML pipelines. (degree)
- Domain specific experience in Audio Digital Signal Processing is a plus. (degree)
Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- Experience contributing code to production systems or shipped products. (degree)
- Hands-on experience building and maintaining production-grade ML pipelines. (degree)
- Domain specific experience in Audio Digital Signal Processing is a plus. (degree)
Responsibilities
- Collaborating with AI researchers and audio signal processing experts to design and build end-to-end ML systems, tuned for human-human and human-AI interactions.
- Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation.
- Work across the product lifecycle from prototyping to shipping production-grade code optimized for performance and memory and updating the deployed models based on A/B testing.
- Remain up to date with latest advancements, trends and research and contribute towards our IP portfolio.
Travel Requirements
0 days / week in-office - remote
Principal Applied Scientist
Microsoft
Principal Applied Scientist
Job Description
We are developing the Intelligent Conversation and Communications Cloud (IC3) to support Microsoft’s real-time conversation products like Teams, serving millions of users with dependable audio, video calls, meetings, and chat services. We also offer our core features to third-party partners to enhance their products. IC3 aims to make conversations smarter by providing real-time information and automating actions during interactions. Each call, meeting, or chat will make future conversations better.We are looking for a Principal Applied Scientist to join our team! 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.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States (Remote)
Salary
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required 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. (degree)
- 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) (degree)
- 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) (degree)
- OR equivalent experience. (degree)
- 6+ years of experience in development/deployment of machine learning algorithms. (degree)
- At least 1 year of experience managing or mentoring technical contributors. (degree)
- Strong verbal and written communication skills, with the ability to explain complex ideas clearly to technical and non-technical audiences. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- Experience contributing code to production systems or shipped products. (degree)
- Hands-on experience building and maintaining production-grade ML pipelines. (degree)
- Domain specific experience in Audio Digital Signal Processing is a plus. (degree)
Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- Experience contributing code to production systems or shipped products. (degree)
- Hands-on experience building and maintaining production-grade ML pipelines. (degree)
- Domain specific experience in Audio Digital Signal Processing is a plus. (degree)
Responsibilities
- Collaborating with AI researchers and audio signal processing experts to design and build end-to-end ML systems, tuned for human-human and human-AI interactions.
- Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation.
- Work across the product lifecycle from prototyping to shipping production-grade code optimized for performance and memory and updating the deployed models based on A/B testing.
- Remain up to date with latest advancements, trends and research and contribute towards our IP portfolio.
Travel Requirements
0 days / week in-office - remote