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Principal Tech Lead Manager, Image Generation

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Microsoft Corporation

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year
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Job Description:

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. This role sits at the heart of one of Copilot's most visible and fast-growing features. You 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. You will also be responsible for growing the team by identifying, recruiting, and onboarding the engineers needed to take these capabilities to the next level.

Job Responsibility:

  • 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
  • Architect and scale evaluation frameworks purpose-built for image generation: aesthetic quality, safety, prompt fidelity, diversity, and user preference
  • Lead competitive benchmarking against peer systems, establishing clear metrics to track progress and signal investment areas
  • Run systematic hillclimbing loops across models, prompts, and post-processing strategies to drive continuous quality improvement
  • Build tooling that enables rapid experimentation and tight iteration cycles for the broader AI org
  • Hire, onboard, and grow a high-performing team of Applied AI Engineers and ML practitioners focused on image generation
  • Set clear goals and success criteria for direct reports
  • invest in their development through coaching, feedback, and stretch opportunities
  • Partner with recruiting to define hiring criteria, run structured interviews, and represent the team's needs in headcount planning
  • Create and maintain a culture of ownership, experimentation, and rigorous quality standards
  • Work closely with PM, design, safety, and research leadership to translate ambiguous product goals into technical strategies
  • Coordinate across Copilot platform, backend, and frontend teams to ensure smooth integration of image generation capabilities
  • Communicate technical progress, risks, and decisions clearly to senior leadership and stakeholders

Requirements:

  • 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
  • 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

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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