Software Engineer

Microsoft Corporation • Redmond, WA

72d • Onsite

About The Position

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 EngineerII 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.

Requirements

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

Nice To Haves

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (Azure preferred) and big data technologies.
• Understanding of statistical modeling, predictive analytics, and experimentation design.
• 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.

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.

What This Job Offers

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