Member of Technical Staff (Audio)

Requirements

• Master’s degree in computer science OR equivalent technical experience
• PhD is a plus
• Experience building and maintaining training data pipelines (ingestion, cleaning, labeling, QA, versioning, lineage)
• Experience designing eval frameworks and datasets (gold sets, challenge/adversarial sets, human-in-the-loop evals, A/B tests, regression suites) and running error analysis
• Strong experimentation skills: ablations, hypothesis-driven iteration, tracking metrics and qualitative rubrics
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines
• Contributions or interest in audio

What You'll Be Doing

• Model Training & Evaluation: Design and maintain training data “recipes” (data sourcing, cleaning, labeling workflows, QA, versioning, and lineage) and develop evaluation frameworks
• Training & Inference Optimization and Scaling: Optimize end-to-end training and inference performance to meet latency, throughput, cost, and reliability targets
• Collaboration: Work closely with other members of the AI research team to define requirements, scope projects, and deliver high-impact solutions
• Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture

Nice to Haves

• PhD

Perks and Benefits

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer.