Principal Applied Scientist (AI/ML)

TL;DR

Principal Applied Scientist (AI/ML): Building and optimizing intelligence for advertising marketplace systems to understand user behavior and optimize outcomes with an accent on data-driven attribution, causal measurement, and large-scale learning systems. Focus on defining scientific and technical strategy, establishing methodologies for incrementality estimation and bias correction, and leading the design of attribution frameworks for web-scale production systems.

Location: Redmond, United States. Employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week, subject to local law.

Salary: USD $139,900–$274,800 per year (up to USD $304,200 for San Francisco Bay area and New York City metropolitan area).

Company

hirify.global is a team within Microsoft focused on building intelligence that powers the advertising marketplace's understanding of user behavior and optimization of outcomes.

What you will do

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction.
• Lead the design and production adoption of attribution and causal inference frameworks to improve bidding, ranking, and optimization at web scale.
• Set evaluation standards to distinguish correlation from causation and elevate experimental rigor.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches.
• Serve as a subject-matter expert and technical advisor on attribution and causal inference, mentoring scientists.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field AND 6+ years of experience (or Master’s with 4+ years, or Doctorate with 3+ years).
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal machine learning.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
• Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
• Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
• Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems.
• Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.

Culture & Benefits

• Microsoft fosters a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability.
• Opportunity to empower every person and organization on the planet to achieve more.
• Work within a team solving structurally hard problems where ground truth is limited and scientific rigor is essential.