Overview
Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation. Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or
Full job description
Full Job Description
Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation. Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) These requirements include but are not limited to the following specialized security screenings: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proven experience in programming and data analysis skills 2+ years of experience in developing and deploying large-scale machine learning models.. Proven expertise in the areas of Generative AI, deep learning, or transformers. 2+ years of experience in reinforcement learning and contextual bandits.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Verified from public schema.org JobPosting structured data on the official source page. The complete published description, responsibilities, requirements and benefits were normalized when present; unstated facts were not inferred.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Microsoft Careers ↗Browse current Job and Scholarship listings from Microsoft Careers →
