Microsoft is developing the Intelligent Conversation and Communications Cloud (IC3) to support real-time conversation products like Teams, and is looking for a Principal Applied Scientist to join the team to make conversations smarter by providing real-time information and automating actions during interactions.
Requirements
- 6+ years of experience in development/deployment of machine learning algorithms.
- Experience with machine learning pipelines involving data cleaning, feature engineering, model training, and evaluation.
- Hands-on experience building and maintaining production-grade ML pipelines.
- Domain specific experience in Audio Digital Signal Processing is a plus.
- Experience contributing code to production systems or shipped products.
- Strong programming skills in languages such as Python, C++, or Java.
- Experience with cloud-based technologies such as Azure or AWS.
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.
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
- Strong verbal and written communication skills, with the ability to explain complex ideas clearly to technical and non-technical audiences.
- At least 1 year of experience managing or mentoring technical contributors.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.