The Bing multimedia Relevance Team is seeking a talented machine learning scientist/engineer to enhance the multimedia search experience on the web. This role involves developing advanced search technology to deliver the best images and videos for user queries globally. Candidates will work with a diverse team of data scientists and engineers, focusing on machine learning, deep learning, and natural language processing. The position offers an opportunity to innovate and impact millions of users by improving search algorithms and models.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Analyze problems using large scale crawled data and user engagement data.
• Define problems and metrics to address relevance, authority, attractiveness, diversity, and freshness.
• Design and train machine learning systems and model architectures.
• Collect data for training machine learning models.
• Define the engineering life cycle and drive projects forward through iterative ranker releases.
• Understand the search stack and platform to deploy models to production.
• Collaborate with other data and applied scientists, distributed system engineers, and program managers.
• Proactively seek mentorship from others.

• 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.