Senior Applied Scientist

Microsoft • Redmond, WA

4h • Hybrid

About The Position

We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants. Microsoft AI 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.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Nice To Haves

• Proficient oral and writing skills.

Responsibilities

• Building and owning production machine learning models to improve results.
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
• Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees