Responsibilities:

• Define and own the end-to-end technical roadmap for Copilot image generation , from prompt understanding and model integration to evaluation, quality, and reliability.
• Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization.
• Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones.
• Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy.
• Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces.
• Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images.
• Build and own the feedback loop from user signals to model and prompt iteration.
• Close the loop from production data to systematic improvements.
• Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Preferred Master's degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field.
• 5+ years of industry experience in applied ML, AI product engineering, or related disciplines.
• 1+ years managing a team of engineers or data scientists.
• Demonstrated experience shipping production AI or ML systems at scale.
• Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities.
• Hands-on experience building evaluation frameworks or quality systems for AI/ML products.
• Track record of driving measurable quality or performance improvements through systematic iteration.
• Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.).
• Experience building and owning hillclimbing infrastructure for generative AI.
• Formal people management experience, including hiring and performance management.
• Experience working on consumer AI products with high user visibility and quality bar.
• Prior work in responsible AI for generative media, including safety filtering and content policy enforcement.

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