Senior Applied Scientist (AI/ML)

TL;DR

Senior Applied Scientist (AI): Leading the development of large-scale, Azure-based intelligence platforms that transform complex data into high-quality, actionable insights with an accent on integrating advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs). Focus on building predictive models for recommendations, detecting anomalies, generating automated insights with reasoning, and ensuring accurate, actionable intelligence at scale.

Location: Redmond, United States. Starting January 26, 2026, 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.

Salary: USD $119,800 – $234,700 per year (broader U.S. range); USD $158,400 – $258,000 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global (MAI) is building large-scale, Azure-based intelligence platforms that transform complex data into high-quality and rich actionable insights for Microsoft Advertising stakeholders.

What you will do

• Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
• Drive experimentation and validation of models, mentoring junior scientists and contributing to Responsible AI practices.
• Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.
• Advance feature adoption scoring and health check analytics using data-driven approaches.
• Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques.
• Fine-tune SLMs and generate account planning guidance, tailored talking points, and pitch assets using agentic orchestration.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Master’s Degree AND 3+ years experience OR Doctorate AND 1+ year(s) experience OR equivalent.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems.
• Proficiency in programming for data science (Python or R) and experience with data querying languages (SQL).
• Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks.
• Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests).
• Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas.

Culture & Benefits

• Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Culture of inclusion where everyone can thrive at work and beyond, built on values of respect, integrity, and accountability.
• Equal opportunity employer, providing consideration for employment without regard to protected characteristics.
• Certain roles may be eligible for benefits and other compensation; details available on Microsoft careers website.