Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Leading the development of a large-scale Azure-based intelligence platform, transforming complex data into high-quality, actionable insights using advanced machine learning models and generative AI capabilities. Focus on designing and implementing predictive models for recommendations, anomaly detection, and automated insights at scale.

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 starting January 26, 2026.

Salary: USD $119,800 – $234,700 per year (up to $258,000 for specific high-cost U.S. locations).

Company

hirify.global builds large-scale, Azure-based intelligence platforms, integrating advanced machine learning and LLM-powered agentic capabilities to provide 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, mentor junior scientists, and contribute 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 through data-driven approaches.
• Engineer optimal prompts for various LLM calls using chain-of-thought and other advanced techniques.
• Fine-tune SLMs to efficiently scale solutions to millions of advertisers and generate account planning guidance 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 with 3+, or Doctorate with 1+).
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems, including building and validating algorithms.
• 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 while ensuring privacy and Responsible AI compliance.

Culture & Benefits

• Microsoft empowers every person and organization to achieve more, fostering a growth mindset, innovation, and collaboration.
• The company builds on values of respect, integrity, and accountability to create a culture of inclusion.
• Microsoft is an equal opportunity employer and provides accommodations during the application process.