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Senior Machine Learning Engineering Manager, GenAI

Faites partie des premiers candidats.
Mozilla
Paris
À distance
EUR 80 000 - 140 000
Faites partie des premiers candidats.
Il y a 2 jours
Description du poste

Senior Machine Learning Engineering Manager, GenAI

at Mozilla Corporation Team : Firefox Locations : Remote UK, Remote Spain, Remote France, Remote Germany, Remote US, Remote Canada

Apply Now

Why Mozilla?

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 :

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
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life / AD&D, disability, EAP, etc. varies by country)
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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