Principal Applied Science Engineer at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Reinforcement Learning, AI Systems, Machine Learning, NLP Techniques, Statistical Theory, Software Engineering, Cloud Technologies, Causal Inference, Experimentation Frameworks, Model Fine-Tuning, Collaboration, Mentorship, Automation, Innovation

Industry

Software Development

Description

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains. Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios. Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence. Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement. Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments. Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture. Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation. Bachelor's degree in Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) (OR) Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) (OR) Doctorate in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping. Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) (OR) Doctorate in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) 5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping. Experience with modern NLP techniques and language model architectures (e.g. Transformer, etc). Deep understanding of statistics and statistical theory Experience working with real-world noisy data Demonstratable experience with software engineering principles, parallel and distributed computing, statistics, machine learning, cloud technologies like Azure, AWS, Google Cloud, IaaS, PaaS and SaaS These requirements include but are not limited to the following specialized security screenings: BICJobs This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

Drive strategic impact by leading high-leverage data science and analytics initiatives across multiple product domains. Mentor the data science community and design robust measurement systems tailored to dynamic AI systems.