Member of Technical Staff- MTS Product Evaluation Engineer
Job Description
- 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.
- 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#, Jav
- OR equivalent experience.
- 4 years of experience in building and deploying web-based tools or applications.
- 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 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.
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