Principal Applied Scientist, Experimentation Platform

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $142,800–$274,800 / yr
Posted: 123 days ago
Closes: Aug 24, 2026

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Competitive pay

How this pay compares to similar roles

Similar $217k

This role $209k

$127k most similar roles pay here $291k

This role pays less than 52% of similar roles. Most pay $186,150–$248,375 — the shaded band above. At the midpoint, this role pays about $209k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Principal Applied Scientist, Experimentation Platform

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As a Senior Experimentation Platform Engineer at Microsoft’s CoreAI team, you will play a pivotal role in advancing online experimentation methodologies for AI-driven applications. Your day-to-day responsibilities include collaborating with backend engineers, data scientists, and product managers to develop high-scale experimentation platforms that enable teams to evaluate and deploy new innovations safely. You will also work closely with designers and UI-experts to create clear dashboards and visualizations that empower users to make informed decisions. The role requires expertise in agent-based architectures, frameworks like MCP and A2A protocol, and experience in deploying products through the entire product cycle. Ideal candidates have a background in statistics, computer science, or related fields with extensive experience in designing and scaling experimentation platforms for complex ecosystems. This position demands deep technical knowledge and thought leadership in product measurement strategy to influence senior leaders on interpreting data at scale.

Skills

Python Azure Kubernetes MCP A2A protocol Azure AI Foundry CI/CD PostgreSQL Redis Prometheus Grafana Git Jenkins Docker AWS Terraform

What you'll do

Drive technical direction by connecting product needs with latest scientific techniques for online experimentation.
Develop advanced subject matter expertise in specialized tools and methods to enhance business outcomes.
Translate applied research into production-quality features, bridging gaps between researchers and development teams.
Provide mentorship and coaching to team members, sharing expertise to build capabilities and guide career growth.
Ensure high standards of quality and scientific rigor by advising on cutting-edge AI methodologies.

What we're looking for

Bachelor's degree in a relevant field plus 6+ years of experience or higher-level degrees with fewer years of experience.
Experience developing and deploying products through the entire lifecycle from ideation to shipping.
Proven track record designing and scaling online experimentation platforms for high-velocity testing across complex ecosystems.
Expertise in agent-based architectures, frameworks, and technologies such as MCP, A2A protocol, or Azure AI Foundry.
Demonstrated thought leadership in product measurement strategy, including defining north-star metrics and influencing senior leaders.

Remote

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