Product Evaluation Engineer

Overview

At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Evaluation Engineers with a focus on web front-end development skills to join our Evaluation tooling team. As part of our mission, you will play a critical role in building tools for data collection and model evaluation, contributing directly to the development of cutting-edge AI technologies that define the future.

Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape.

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, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects.
• Feature Implementation: Leverage your expertise in JavaScript and its ecosystem (React JS experience is a must, Next JS experience is a bonus) to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation.
• Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
• Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.
• Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work.

Qualifications

Required Qualifications

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

Preferred Qualifications

• 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 TypeScript, Python, C, C++, C#, Java OR 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 TypeScript, Python, C, C++, C#, Java OR equivalent experience.
• 4+ years of experience in building and deploying web-based tools or applications.
• 4+ years of experience with Next JS or other modern JavaScript frameworks.
• 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation.
• Demonstrated understanding of data structures, algorithms, and software design principles.
• Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
• Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.

Key skills/competency

• Full-stack Development
• Web Front-end (React, Next.js)
• TypeScript
• Python
• Data Collection Tools
• Model Evaluation
• AI Technologies
• Data Pipelines
• Collaboration
• Software Design Principles