Senior Machine Learning Engineer, Applied AI Quality

What you'll do

• Lead the technical strategy and architecture for AI-driven quality and evaluation systems across multiple product teams.
• Develop scalable systems using LLMs, agents, and behavioral signals to detect regressions and generate product insights.
• Define long-term approaches for measurement and quality intelligence across complex product surfaces.
• Translate ambiguous organizational needs into clear technical roadmaps and platform capabilities.
• Establish engineering standards and best practices for building reliable and trustworthy AI systems.
• Lead cross-functional initiatives involving product, infrastructure, data, and applied AI teams.
• Mentor engineers through technical leadership, design reviews, and systems thinking.
• Identify opportunities where AI can improve how teams debug and understand product behavior.

What we're looking for

• You must have at least 5 years of experience in software engineering, machine learning engineering, or applied AI.
• You must have deep experience designing and shipping large-scale AI/ML systems in production environments.
• You must possess strong expertise with LLMs, agents, evaluation systems, retrieval architectures, and modern AI infrastructure.
• You must demonstrate the ability to lead ambiguous, high-impact technical initiatives from concept through adoption across multiple teams.
• You must possess strong systems thinking and architectural judgment to balance experimentation, scalability, and operational rigor.
• You must have experience defining technical strategy and influencing roadmaps beyond your immediate team.
• You must possess excellent communication and cross-functional leadership skills to align engineering, product, and organizational priorities.
• You should have a track record of creating leverage through platforms, frameworks, and systems that enable other teams to move faster.