Senior Software Engineer

Microsoft • Redmond, WA

13h

About The Position

The Office of the Chief Economist (OCE) partners with business units across Microsoft to apply economics, data science, and machine learning to high impact strategic and commercial decisions.
We are seeking a Senior Software Engineer to work closely with economists and data scientists to design and build proof of concept (POC) Machine Learning (ML) and AI solutions, including end to end prototypes with user facing front end components. These POCs are used to test ideas, communicate insights, and inform downstream product and engineering investments across Microsoft.
This role is optimal for an engineer who enjoys working across the full stack, translating analytical concepts into working, demonstrable systems that combine ML, backend services, and intuitive user experiences.

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Nice To Haves

• Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Demonstrated experience building end to end software systems, including backend services and front end or user interface (UI) components.
• Hands-on experience working with machine learning or data driven systems, such as integrating models into applications or workflows.
• Solid understanding of software design principles, APIs, data structures, and testing practices.
• Familiarity with Azure and data/ML tooling.
• Azure Associate‑ or Expert‑level certifications (e.g., Developer, Solutions Architect, or DevOps Engineer).
• Experience building internal tools, dashboards, or decision support UIs for technical or business users.
• Familiarity with modern front‑end frameworks or visualization libraries (e.g., React, TypeScript, D3, Plotly, or similar).
• Experience developing ML or analytics prototypes in research, incubation, or innovation‑focused environments.

Responsibilities

• Design and build end-to-end proof of concept (POC) solutions, spanning backend services, ML integration, and user facing frontend/user interface (UI) components.
• Partner closely with economists and data scientists to translate models, experiments, and research insights into interactive prototypes.
• Develop lightweight but effective UIs (e.g., dashboards, internal tools, decision support interfaces) that enable stakeholders to explore results and scenarios.
• Make pragmatic architecture and technology choices that support rapid iteration while anticipating future productionization by partner engineering teams.
• Integrate data pipelines, feature generation, and ML models into cohesive prototype systems.
• Clearly document design decisions, technical tradeoffs, and limitations, enabling smooth handoff from POC to product or platform teams.
• Collaborate with product, engineering, and business stakeholders to refine requirements as insights evolve.
• Contribute to a culture of technical rigor, experimentation, and learning within OCE.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level