
Senior Applied Scientist
- Bangalore, Karnataka
- Permanent
- Full-time
- Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
- Push the boundaries of AI platforms through innovation and partnership.
- Develop and deploy conversational and language understanding models at scale.
- Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
- Collaborate closely with Microsoft Research and product teams to create the next generation of AI innovation in our products and services. · Embody our culture and values
- Embody our
- 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.
- Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- 4+ years experience writing production code as well as deploying and maintaining shipped models over time.
- 3+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases
- A publication record in top AI venues will be considered a plus.