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Microsoft Applied Science Manager 
India, Telangana, Hyderabad 
677635015

17.07.2024
Qualifications

Required Qualifications:

  • Ph.D. degree AND 3+ year's experience (or Master's AND 6+ years' experience, or Bachelor's AND 8+ years' experience, or 10+ years of equivalent experience) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with specialization in natural language processing/computer vision/multimodal analysis/deep learning/machine learning
  • Strong algorithmic problem solving and software development skills (Python/Java/C++). Proficiency with open-source tools such as PyTorch Experience with statistical analysis and data visualization tools
  • Excellent verbal and written communication skills

Preferred/Additional Qualifications:

  • Publication(s) in top-tier conferences or journals in related fields (e.g., ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).
  • Industry experience with large-scale data processing, distributed computing, or cloud platforms
  • Experience with OpenAI GPT(Generative Pre-trained Transformer models), Azure AI Services
  • Strong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
  • Strong experience in leading applied science or research teams, preferably in the field of responsible AI
Responsibilities
  • Drive the development and execution of the team's research agenda, prioritizing projects that address responsible AI challenges
  • Lead and contribute to research projects focused on developing innovative techniques and methodologies for both the measurement and mitigation of AI risks
  • Stay up-to-date with the latest advancements in responsible AI research and industry best practices
  • Collaborate with internal and external stakeholders to ensure responsible AI practices are integrated into the development and deployment of AI solutions
  • Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams
  • Provide technical guidance and mentorship to the team, fostering a culture of innovation, collaboration, and continuous learning
  • Internalize and champion Microsoft's culture and values