Senior Machine Learning Engineering Manager, GenAI

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Firefox Machine Learning team is building and scaling AI-powered features across Mozilla’s flagship product to make the browser smarter, more helpful, and more human-centered. As a Senior Manager of this team, you will lead the engineering and ML efforts to develop, train, and ship Generative AI models and features that integrate directly into Firefox, shaping the way millions of users interact with the web every day.

You will guide a team of highly skilled ML engineers working at the intersection of user experience, privacy, and innovative research, driving Mozilla’s vision for making powerful AI accessible to everyone.

What you’ll do:

• Lead and grow a team of ML engineers developing Generative AI models and integrating them into Firefox experiences.
• Drive end-to-end machine learning product development—from research and prototyping to model training, evaluation, deployment, and iteration in production.
• Collaborate cross-functionally with product, research, design, and platform teams to deliver user-facing features powered by proprietary and open-source AI models.
• Define technical strategy and execution plans for ML initiatives aligned with Mozilla’s mission and Firefox’s product roadmap.
• Champion engineering excellence, inclusion, and a user-first perspective in every phase of feature development.

What you’ll bring:

• 10+ years of experience in machine learning, with 5+ years in technical management roles.
• 5+ years of experience building and deploying ML or Generative AI systems in production environments, including experience with LLMs, transformers, or multimodal models.
• Proven track record of managing high-performing engineering teams in shipping AI features to millions of users.
• Deep expertise in modern ML development frameworks (e.g., PyTorch, TensorFlow), scalable training/inference infrastructure, and MLOps practices.
• Experience with on-device machine learning model development and deployment is a strong plus.
• Familiarity with privacy-preserving ML techniques such as differential privacy or federated learning is a plus.
• Master’s degree or Ph.D in Computer Science, Machine Learning, or a related field (or equivalent industry experience).
• Strong communication skills with the ability to translate complex technical concepts into collaborative plans with cross-functional collaborators.
• Commitment to our values:
  • Welcoming differences – Foster an inclusive and equitable team environment.
  • Being relationship-minded – Build trusting partnerships across Mozilla and the broader community.
  • Practicing responsible participation – Promote ethical and privacy-aware use of AI.
  • Having grit – Lead through ambiguity and pursue impactful goals with persistence and creativity.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country-specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Emplo