The Principal Applied Scientist role at Microsoft AI Web Data team focuses on building the next-generation platform for Bing and Microsoft AI. This position involves translating research into production by advancing state-of-the-art techniques to meet AI needs. The team operates end-to-end systems for processing web content at internet scale, aiming to improve system performance and accuracy. Candidates will have the opportunity to tackle deep technical challenges and drive industry-wide impact.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• 5+ years experience creating publications such as patents or peer-reviewed academic papers.
• 2+ years experience presenting at conferences or other events as an invited speaker.
• 5+ years experience conducting research as part of a research program.
• 3+ years experience developing and deploying live production systems.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle.
• 8+ 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 PyTorch.
• Active research in areas such as LLM training, artificial intelligence, or natural language processing.
• Solid understanding of web documents and web data processing concepts.
• Experience with Big Data technologies such as Spark or Mapreduce.
• Experience with Search or recommendations.

• Develop deep expertise across a broad research area and relevant techniques.
• Partner with stakeholders to understand business and product requirements.
• Mentor and inspire peers and new research talent.
• Document experiments and outcomes to communicate learnings.
• Guide and mentor junior team members in developing new technologies.
• Work closely with partner teams across Microsoft AI to understand shared needs.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.