Applied Scientist AI Experiences Search

The Microsoft AI Web Data team is seeking an Applied Scientist to help build the next-generation platform for Bing and Microsoft AI.

The Microsoft AIX Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover crawl process understand and store web content on the internet scale. We advance the platforms capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI.

This is a great opportunity for someone who enjoys tackling deep technical challenges and driving industry-wide this role you will translate research into production by advancing the state of the art and applying it to meet todays AI needs. You will drive the design development execution and implementation of research projects using scientific principles and techniques to develop evaluate and deploy algorithms and solutions that improve system performance quality data management and accuracy.

Join us to shape the future of AI and deliver meaningful value to millions of users.

At Microsoft our missionto empower every person and every organization on the planet to achieve moreguides how we partner with customers to deliver trusted impactful solutions. With a growth mindset culture we innovate responsibly and measure success by shared progresspeople teams and customers. Join us to do meaningful work that changes the world and helps shape whats next for everyone.

• Own end-to-end applied research and engineering to improve web data quality scale and model readiness for Search grounding and LLM training.
• Develop and apply state-of-the-art machine learning LLM statistical and data mining techniques to solve complex web-scale problems and advance platform capabilities.
• Analyze large-scale web data formulate hypotheses and design rigorous experiments that produce trustworthy actionable insights and measurable impact.
• Apply LLMs and prompt engineering to score classify label and evaluate data enabling scalable model training evaluation and continuous improvement.
• Translate complex technical problems and research findings into product decisions technical strategies and engineering roadmap in partnership with stakeholders.
• Collaborate across Microsoft AI document and share learnings and establish best practices for scalable responsible and privacy-conscious AI and data solutions.

Required Qualifications:

• Bachelors Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 2 years related experience (e.g. statistics predictive analytics research)
  • OR Masters Degree 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 Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field
  • OR equivalent experience.

Preferred Qualifications:

• 1 years of experience contributing to research publications patents or peer-reviewed academic papers.
• 1 years of experience in product development in machine learning and related areas.
• Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorchHands-on experience with large language models (LLMs) such as GPT BERT or similar architectures with an understanding of their capabilities and limitations.
• Knowledge of natural language processing (NLP) including tokenization semantic understanding representation learning classification and text generation.
• Understanding of modern machine learning and deep learning techniques with hands-on experience using architectures such as Transformers/Attention DNNs CNNs or RNNs and frameworks such as PyTorch TensorFlow or Keras.
• Algorithmic statistical and analytical skills with demonstrated ability to apply advanced techniques to complex real-world problems.
• Ability to translate technical vision into experimentation system design implementation and measurable results working both independently and collaboratively across teams.
• Experience with large-scale or distributed data processing high-performance computing stream processing or SCOPE is preferred.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102100 - $202200 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $133800 - $219200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC