Member of Technical Staff, Principal Tech Lead Manager, Image Generation · Microsoft

Fri, 24 Apr 2026 12:15:49 GMT
Engineering

Microsoft · Redmond · $139,900 - $274,800 per year · onsite

We are hiring a Principal Tech Lead Manager to own and grow Copilot's image generation capabilities. This is a high-impact, high-ownership role at the intersection of frontier model integration, evaluation science, and product quality. The successful candidate will set the technical direction for image generation, lead a team of Applied AI engineers and platform engineers, and drive measurable improvements in image quality, user satisfaction, and first-run success.

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.