Principal Applied Scientist at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Cleaning, Feature Engineering, Model Training, Model Evaluation, A/B Testing, Audio Signal Processing, Communication Skills, Mentoring, Production Systems, ML Pipelines, Statistics, Predictive Analytics, Research

Industry

Software Development

Description

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. 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) 6+ years of experience in development/deployment of machine learning algorithms. At least 1 year of experience managing or mentoring technical contributors. Strong verbal and written communication skills, with the ability to explain complex ideas clearly to technical and non-technical audiences. These requirements include but are not limited to the following specialized security screenings: 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. Experience contributing code to production systems or shipped products. Hands-on experience building and maintaining production-grade ML pipelines. Domain specific experience in Audio Digital Signal Processing is a plus.

Responsibilities

Collaborate with AI researchers and audio signal processing experts to design and build end-to-end ML systems. Develop ML pipelines and update deployed models based on A/B testing.