Applied Scientist II

We are seeking an Applied Scientist II to join our Search team at Microsoft AI. Our team is leveraging cutting-edge machine learning and LLM technologies to improve user engagement in Bing Search.

Responsibilities:

• Applying LLMs to improve search relevance and automate training data generation.
• Building state-of-the-art large-scale neural ranking models and feature processing frameworks.
• Leveraging reinforcement learning and user feedback signals to optimize long-term user engagement and retention.
• Developing scalable ML systems that power millions of search experiences every day.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience.
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.

Preferred Qualifications:

• Solid background in machine learning, deep learning, and large-scale AI systems.
• Experience with LLMs, transformer-based models, retrieval, ranking, or recommendation systems.
• Solid understanding of neural network architectures, feature engineering, and model optimization.
• Experience developing and deploying production-scale ML systems.
• Proficiency in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.
• Solid software engineering skills, including distributed systems, data processing, and system design.

Benefits:

• The typical base pay range for this role across the U.S. is USD $102,100 – $202,200 per year.
• Certain roles may be eligible for benefits and other compensation.