Sr Staff Machine Learning Engineer, GenAI

Senior Staff Machine Learning Engineer - Firefox

Position Overview

Mozilla is seeking a Senior Staff Machine Learning Engineer to join the Firefox team. This role is crucial for developing and expanding new machine learning-driven products and tools within Firefox, with a focus on enabling safe and healthy AI experiences.

About Mozilla

Mozilla Corporation, backed by a non-profit organization, has been a key player in shaping the internet for over 25 years. We are known for privacy-focused products like the Firefox browser, used by over 225 million people monthly. Our mission is to create an internet built for people, not companies, focusing on areas like AI, social media, and security. As a wholly owned subsidiary of the 501(c) Mozilla Foundation, we are mission-driven, not shareholder-driven. We collaborate with thousands of global contributors to build open-source software that empowers users to control their internet experience.

About the Team and Role

The Firefox team comprises engineers dedicated to delivering a fast, friendly, and usable browser. We ensure the browser's functionalities are secure, quick, and effective. As a Senior Staff Machine Learning Engineer, you will be instrumental in advancing AI and machine learning within Firefox.

Senior Staff Engineers are recognized experts who influence product strategy and goals across multiple teams. They translate strategy into actionable plans and mentor junior engineers, fostering skill development and team growth. They also collaborate with management to build consensus and provide direction.

Responsibilities

• Tackle complex, open-ended problems and drive them to successful completion, collaborating with designers and engineers to enhance the web.
• Identify strategic opportunities where Large Language Models (LLMs) can improve the Firefox user experience.
• Lead the design, development, and integration of innovative AI and machine learning models in Firefox, working closely with product management, full-stack engineering, and design teams.
• Stay current with the latest advancements in AI, informing feature development and ensuring our methodologies remain innovative and relevant.
• Provide technical leadership and mentorship to upskill the team in AI and foster thought leadership.

Requirements

• 8+ years of experience as a Machine Learning Engineer, with a proven track record of building and deploying ML models in production for user-facing applications.
• Experience shipping LLMs and multimodal models in user-centric products.
• Deep understanding of fundamental machine learning concepts, including deep learning, natural language processing, large language models, and reinforcement learning, with demonstrated expertise in at least one area.
• Ability to identify critical organizational problems and collaborate across teams to develop effective resolution strategies.
• Consistent history of technical leadership across multiple teams, successfully shipping AI products with a strong emphasis on collaboration, flexibility, and respect for diverse perspectives.
• Familiarity with AI ecosystem tooling, including open-source solutions and cloud services (GCP, AWS, Azure).
• Experience with experimental design, survey design, and large-scale A/B testing.
• Knowledge of responsible AI practices, transparent algorithms, and a user-first approach.
• Pragmatic approach to project execution, including managing trade-offs and implementing safeguards for new functionalities within specific timeframes.
• Ability to lead and thrive in a distributed team environment.

Bonus Points

• Experience with on-device machine learning models.