Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

57898204

Required Qualifications:

• Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 2+ years experience with transformer-based models (e.g., GPT, Llama).
• 2+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

Background Check Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Preferred Qualifications:

• 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 3+ 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).
• 6+ years experience with Python and relevant ML libraries (e.g., PyTorch).
• 8+ years experience conducting research as part of a research program (in academic or industry settings).
• 6+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 6+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
• Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
• Experience programming with Python, Typescript, C# (any) is preferred.
• Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or gentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction.
• Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• Experience demonstrating a growth mindset, customer obsession, and Inclusion.
• Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:

• Design, implement, validate, and ship AI-powered features end-to-end for Microsoft Teams.
• Collaborate with Program Managers, Designers, and Researchers to define product requirements, timelines, and measurable success criteria.
• Maintain and improve system performance, reliability, latency, and scalability of AI-powered features in production.
• Participate in code reviews, debugging, telemetry reviews, and continuous delivery processes.
• Champion a culture of scientific rigor, ethical AI, and innovation across the team.
• Communicate scientific findings and technical designs clearly to product and engineering leadership.
• Drive exploration of hybrid AI experiences (cloud + edge + LLM) for responsiveness, privacy, and enterprise value.
• Experience prompt tuning, fine tuning and RAG system development, experience with Evaluation, A/B testing, Experimentation.
• Navigate ambiguity with creativity and initiative, helping define the roadmap for AI integration in Microsoft Teams.
• Operate in a fast-paced, collaborative environment, working across multiple organizations to ship globally scaled products.