Overview

We are seeking a passionate and technically skilled Software Engineer II to join the Commerce – Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft’s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.

As a Software Engineer II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.

This role requires you to be onsite 3 days a week in Microsoft's offices in Redmond, WA.

Responsibilities

• Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models. Design skill should include scale, extensibility, performance, re-training for the ML models.

• Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.

• Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.

• Ensure the models built are operable, scalable, extensible and performant.

• Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.

• Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.

• Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.

• 2+ years of experience in data science, analytics, or applied machine learning.

• Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, Tensor Flow, Py Torch).

• Experience with cloud platforms (Azure preferred) and big data technologies.

• Understanding of statistical modeling, predictive analytics, and experimentation design.

• Excellent communication and stakeholder management skills.

• Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.