Summary
Microsoft are looking for a talented Principal Applied Scientist at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the field of artificial intelligence. You'll work directly with leadership to shape the company's direction in the AI and research organization.
About the Role
We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, and auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems.
Accountabilities
- Conduct in-depth market research across AI and research sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
- Design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets
The Candidate we're looking for
Experience:
- MS/BS in CS/EE, mathematical or machine learning related disciplines, with 10 or more years of experience
Technical skills:
- Solid understanding of probability, statistics, machine learning, data science
- A/B testing & analysis of ML models, and optimizing models for accuracy
- Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models
Personal attributes:
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production
- Experience implementing machine learning algorithms or research papers from scratch
Benefits
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technology and resources
- Flexible work arrangements and work-life balance
