Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

257701523

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Experience in deep learning and its different toolkits particularly Pytorch or Tensorflow.
• Record of publications in top-tier conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICLR).
• Experience in deep learning with familiarity with LLMs like Qwen, GPT, Llama or VLMs like Vision Transformer, CLIP, Florence, experience with different Image Encoders.

Preferred Qualifications:

• Experience in model quantization & optimization techniques such as GPTQ, LORA etc..
• Experience of using dataset curation, data generation using prompting state of art LLMs, automated model evaluation.
• Experience with model conversion and deployment frameworks like ONNX.
• Experience in network architecture search, quantization.
• Experience training foundation models, data collection and model distillation into smaller models.
• Experience with Parameter-Efficient Fine-Tuning methods for foundational models.
• Experience with distributed training libraries like DeepSpeed.
• Experience with Image encoders like Siglip, Florence, etc..
• Awareness or desire to learn about model compression and quantization techniques.

• Research, design, and implement state-of-the-art, adapt or fine tune models destined for edge device inferencing for VLMs and LLMs.
• Collaborate with cross-functional teams, including researchers, engineers, and product teams, to integrate developed technologies into Microsoft’s products and services.
• Contribute to a real-time system involving multiple components.
• Mentor junior engineers and contribute to team knowledge-sharing sessions.
• Publish groundbreaking research results in top-tier conferences and journals, contributing actively to the scientific community.