Microsoft Prinicipal Applied Scientist 

Taiwan, Taoyuan City 

37107343

In this role, you will shape the science and innovation strategy by leveraging and improving LLM/SLM/LRM and productionize breakthroughs at web scale. Your work will directly influence how ads are discovered, matched, and generated — improving user experience, advertiser ROI, and the efficiency of the entire ads platform.

• Bachelor's Degree in Statistics, Econometrics, 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, 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.
    
• 8+ years of experience in ML with a proven record of shipping large-scale models to production.
  
• Hands-on experience with SLM/LLM /LRM training, fine-tuning, and post-training.
  
• Experience designing and scaling recommendation systems with massive query/item spaces and multi-stage ranking pipelines.
  
• Proficiency with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) and distributed training on large datasets.

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.

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 10+ years of experience in ML with a proven record of shipping large-scale models to production.
  
• Expertise in training and inference optimization.
  
• Proven ability to influence platform architecture and align cross-team roadmaps.
  
• Track record of publications in tier-1 venues such as NeurIPS, ICML, KDD, WWW, ACL, SIGIR.

• Advance research and development across retrieval, ranking, matching, and generative models.
• Leverage and improve SLMs/LLMs:/LRMs train, fine-tune, and align models and productionize them.
• Evolve the Ads ranking platform toward better usability, reliability, scalability, efficiency, and architectural coherence.
• Provide technical leadership on projects: set direction, coach a distributed team, and influence cross-org strategy.
• Follow research trends in AI to guide the group keep solutions state-of-the-art.
• Collaborate with research and engineering teams.