Applied Scientist (AI)

TL;DR

Applied Scientist (AI): Building and optimizing a large-scale, Azure-based intelligence platform that combines advanced machine learning with emerging agentic capabilities powered by large language models with an accent on delivering smarter recommendations, automating analysis, generating contextual summaries, and streamlining workflows. Focus on designing and developing scalable ML models, productionizing solutions, and integrating LLM-driven reasoning and summarization into core workflows.

Location: Redmond, United States. Employees 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 $100,600 – $199,000 per year

Company

hirify.global is developing a large-scale, Azure-based intelligence platform to generate high-quality, actionable insights for Microsoft Advertising.

What you will do

• Implement large-scale ML models for advertiser recommendations, insights, and forecasting.
• Apply statistical and machine learning techniques to detect patterns, surface anomalies, and generate data-driven insights.
• Collaborate with engineering and BI teams to operationalize models into dashboards and alerting systems.
• Support experimentation and contribute to model performance evaluation.
• Assist in prompt engineering for LLM calls and explore summarization techniques.
• Ensure Responsible AI practices and contribute to model governance.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience.
• OR Master’s Degree in a related field AND 1+ year(s) related experience.
• OR Doctorate in a related field.
• Strong understanding of statistics, predictive analytics, or research.

Nice to have

• Hands-on experience developing and validating ML/statistical models (e.g., regressions, classifiers, clustering).
• Experience with large-scale data processing or distributed computing (e.g., Spark, Azure Databricks).
• Familiarity with time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests).
• Exposure to LLMs and prompt engineering for summarization or domain adaptation.
• Domain knowledge in sales, marketing analytics, or business intelligence.

Culture & Benefits

• Microsoft's mission is to empower every person and organization to achieve more, fostering a culture of inclusion, respect, integrity, and accountability.
• Employees are expected to work from the office at least four days per week if within commute distance of a designated Microsoft office in the U.S.
• Microsoft is an equal opportunity employer.