Principal Applied Scientist (AI/ML)

TL;DR

Principal Applied Scientist (AI/ML): Building and owning production machine learning models with an accent on generative modeling, experimental prompt tuning, and large-scale modeling optimization. Focus on working hands-on with SOTA generative models like LLMs and SLMs, designing experiments, and extracting actionable insights from petabytes of data for senior executive decision-making.

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

Company

hirify.global unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features.

What you will do

• Build and own production machine learning models to improve results.
• Work hands-on with SOTA generative models like Qwen, Llama, Mistral, and GPT to deliver significant impact.
• Find insights and form hypotheses on large-scale data using machine learning, feature engineering, statistical, and data mining techniques.
• Professionally apply prompt engineering with large LLMs like GPT, Gemini, and Claude.
• Design experiments, understand resulting data, and produce actionable, trustworthy conclusions.
• Wrangle large amounts of data (petabytes) using various tools and programming languages including Python, C#, R, C++, Java, and SQL.
• Translate complex problems and data into concise answers to assist senior executives in making key business decisions.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• OR Master’s Degree in a related field AND 4+ years related experience.
• OR Doctorate in a related field AND 3+ years related experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Must pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience.
• OR Doctorate in a related field AND 6+ years related experience.

Culture & Benefits

• Collaborate with a growth mindset, innovate to empower others, and realize shared goals.
• Work in a culture of inclusion built on values of respect, integrity, and accountability.
• Eligibility for benefits and other compensation packages (details available on Microsoft careers website).