Senior Applied Scientist Job at Microsoft Corporation (Redmond)

Senior Applied Scientist

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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Job Description:

Conversational commerce introduces challenges that differ from traditional web shopping. Preferences emerge through dialogue, expectations for accuracy and trust are high, and systems must reason over context and frequently changing commerce data. Microsoft Copilot is building shopping experiences that are conversational, proactive, and trustworthy. As a Senior Applied Scientist, you will lead the development of machine learning and generative AI systems that power product discovery, ranking, personalization, and reasoning across Copilot shopping surfaces. This role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences.

Job Responsibility:

Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data
Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data
Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability
Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments
Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences
Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards
Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems

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
3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems
Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling)
Experience with data querying languages (e.g. 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
Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas

Nice to have:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience

Additional Information:

Job Posted:
April 05, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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