This role is part of the Microsoft AI Experiences - Monetization team, focusing on designing and implementing advanced machine learning models and algorithms for advertising systems. The team aims to enhance user and advertiser experiences through innovative solutions in natural language processing, computer vision, and generative AI. Employees are expected to work collaboratively to solve complex machine learning challenges that impact millions of users. The position emphasizes a culture of inclusion and innovation, aligning with Microsoft's mission to empower individuals and organizations.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.
• 4+ years of experience developing natural language processing or multimodal machine learning systems using deep learning.
• 4+ years of experience developing and operating production machine learning or AI systems using Python, C++, or equivalent programming languages.

• Define the ad relevance problem across different ad scenarios to optimize both the user and advertiser experience.
• Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision.
• Deploy robust and scalable solutions to continuously improve ad relevance.
• Analyze model and system performance to identify opportunities based on offline and online testing.

• 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.