Mozilla
Technology
SeniorMachineLearningEngineer,AIPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer, AI Platform at Mozilla. Skills: AI Platform, Machine Learning, Distributed Systems, Production Infrastructure. Design AI platform components. Build AI platform components”
Industry & Context.
Problem-solving; Debugging performance issues; Debugging reliability issues
On-call rotations
What They're Looking For.
Must Have
4+ years relevant industry experience, Master's degree with hands-on experience, Python development experience, Deploying ML workloads in cloud environments, Model serving architectures understanding, GPU-based workloads experience, CI/CD pipelines design experience, Independent technical initiative scoping, Problem-solving skills, Debugging distributed systems skills, Clear communication skills, Cross-team collaboration experience
Nice to Have
Inference optimization strategies experience, Containerization and orchestration systems experience, Observability systems design experience, Privacy-preserving ML techniques exposure, Responsible AI system design exposure, Open-source ML infrastructure contributions, Reusable internal ML tooling leadership
What You'll Do.
Design AI platform components
Build AI platform components
Operate AI platform components
Own model serving workflows
Own inference workflows
Drive reliability improvements
Drive scalability improvements
Drive performance improvements
Drive operational excellence
Lead inference system optimization
Optimize for throughput
Optimize for cost efficiency
Optimize GPU utilization
Improve model lifecycle parts
Implement observability practices
Evolve observability practices
Improve operational resilience
Partner with product teams
Partner with infrastructure teams
Partner with security teams
Partner with data teams
Design scalable platform capabilities
Contribute to technical discussions
Propose architectural improvements
Mentor junior engineers
Participate in operational processes
Improve operational processes
How You'll Work.
Team & Collaboration
Product teams; Infrastructure teams; Security teams; Data teams; Cross-functional teams
Communication Scope
Technical design discussions
Process & Methodology
Technical initiatives
Full Job Description
Why Mozilla? 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, and Pocket, a service for keeping up with the best content online. 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 AI Platform team is responsible for building the foundational infrastructure that powers intelligent experiences across Mozilla products. This includes model training pipelines, high-throughput inference services, GPU orchestration, and secure, privacy-respecting AI systems that operate reliably at global scale. We’re looking for a Machine Learning Engineer with a strong platform mindset to help design, build, and operate Mozilla’s AI platform. In this role, you’ll work at the intersection of machine learning, distributed systems, and production infrastructure—ensuring that models can be trained, deployed, and served efficiently, securely, and at scale. You will collaborate closely with product, infrastructure, and security teams to enable fast iteration while meeting strict performance and privacy requirements. What You’ll Do: Design, build, and operate core AI platform components used to train, deploy, and serve ma
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