Ai Research Engineer • Principal

Who you are

You have a strong background in AI and data engineering, with significant experience in designing and implementing data quality evaluation frameworks. Your expertise in Python and Azure allows you to develop scalable solutions that enhance the quality of AI training datasets. You are skilled in collaborating with cross-functional teams to establish best practices and deliver reusable tools that can be utilized across multiple product teams.

You understand the importance of data quality in AI model development and have experience operationalizing quality signals aligned to model outcomes. Your ability to define metrics and testing methodologies ensures that datasets are compliant and of high quality. You are also familiar with synthetic data generation techniques and can implement pipelines that improve dataset representation and coverage.

What you'll do

As a Principal Research Engineer, you will lead the design and implementation of a data quality evaluation framework for AI training datasets. This includes developing scalable metrics and automated reporting systems that enhance dataset quality. You will collaborate with various stakeholders to run experiments and establish best practices that can be scaled across multiple teams.

Your role will involve creating automated validation gates and monitoring systems to support continuous dataset iteration, ensuring that datasets remain relevant and high-quality. You will also design and implement synthetic data generation pipelines to fill coverage gaps and accelerate iteration cycles, ensuring that the datasets used for training AI models are diverse and representative.

What we offer

At Microsoft, you will be part of a team that is at the forefront of AI development. You will have the opportunity to work on innovative projects that have a significant impact on the company's AI capabilities. We offer a collaborative work environment where your contributions will be valued, and you will have the chance to grow your skills and advance your career in AI and data engineering.