Sr. Principal Scientist, Secure Work Enablement

Key job responsibilities

• Developing novel AI architectures for secure, enterprise-grade collaborative systems
• Advancing the science of human-AI interaction in workplace environments
• Creating new frameworks for AI agent orchestration and optimization
• Pioneering new approaches to privacy-preserving machine learning

Basic Qualifications

• Graduate degree in Computer science/Math or related field
• Experience in building complex, real-time systems involving Agentic AI, Personalization and Reinforced Learning with successful delivery to customers
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
• Computer Science fundamentals in data structures, algorithm design and complexity analysis
• Ability to develop machine learning platform strategy in the domain of recommender systems
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science

Preferred Qualifications

• 15+ years of relevant, broad research experience after PhD degree or equivalent
• Ability to take a project from requirements gathering and design to actual product launch
• Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet timelines with optimal solutions
• Deep expertise in Machine Learning as applied to large-scale generative models
• Proficiency in programming for algorithm and code reviews
• Strong core competency in mathematics and statistics
• Track record of successful projects in algorithm design and product development
• Publishations at top-tier peer-reviewed conferences or journals
• Strong prior experience with mentorship and/or management of senior scientists and engineers
• Thinks strategically, but stays on top of tactical execution
• Exhibits excellent business judgment; balances business, product, and technology very well
• Effective verbal and written communication skills with non-technical and technical audiences
• Experience working with real-world data sets and building scalable models from big data