.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 Firefox team is a community of engineers who care deeply about delivering the fastest, friendliest, most usable browser possible. We are responsible for making the things you see in the browser work securely, quickly, and well! We are looking for a Staff Machine Learning Engineer to help us develop and grow new Generative AI driven products and tools. You will play a key role in enabling safe and healthy machine learning and Generative AI driven experiences in Firefox.What you'll do:Lead the design, development, and integration of Generative AI solutions in Firefox, collaborating cross functionally with product management, full stack engineering and design.Build infrastructure for training and inference of LLMs and small language and vision models for use cases on the web and mobile Firefox product experiences.Implement robust validation and testing procedures to ensure the developed models' generalizability and reliability.Continuously monitor and optimize deployed models for performance and efficiency.What you'll bring:6+ years experience as a Machine Learning engineer building tooling and services for machine learning applications in production.Experience with designing and building machine learning tooling and infrastructure for training, deploying, inference and validation of models.Experience with distributed systems and platforms for AI integrations across a breadth of applications such as LLM APIs, Cloud based and open source tooling.Leading architecture designs to execution independently and track record of improving the team's overall AI development velocity.Strong problem-solving skills and ability to communicate complex concepts to technical and non-technical stakeholders.Experience working collaboratively with product managers, project managers, and/or other non-engineering teams.Effective documentation and communication skills on a distributed team
