Senior Applied Scientist

We are the Data & Applied Sciences team for Microsoft Teams, based in Bangalore, India.

Our mission is to leverage generative AI, advanced machine learning, deep learning, and data science to drive informed decision-making, improve product performance, and maximize business impact.

You will work as part of a team that brings together talent in the areas of machine learning, generative AI, natural language processing, information retrieval, software engineering, data analytics, and ML operations.

Responsibilities

• Building models and featurization pipelines.
• Measuring and improving model performance with feedback loop and reinforcement learning; working with product teams on appropriate designs of AI-powered experiences.
• Setting up, running, and analyzing experiments.
• Prototyping new approaches and developing new algorithms, ML techniques such as modeling using deep learning, advanced ML models, and privacy-preserving algorithms.
• Working with other scientists, engineers, and UX experts on the detailed design and implementation of end-to-end solutions, including data-pipelines for machine learning, deployments, performance monitoring, and analysis, and continual refinement via feedback loop from real users.
• Staying abreast of current technology trends and research development in relevant areas inside and outside of the company, including attending academic and industrial conferences.
• Partnering with Development teams, Microsoft Research, and Product Teams.

Qualifications

Required/Minimum 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:

• Ph.D. in Computer Science, Artificial Intelligence, Statistics, Electrical Engineering, Computer Vision, or related field.
• Publications in top-tier ML/IR/NLP/CV conferences would be a plus.
• Awareness and understanding of emerging research and technologies.
• Experience in large-scale data mining and cloud computing.
• Analytical, problem-solving, programming, and debugging skills.