Search the 39 jobs at Mozilla

As a Senior Software Developer at Mozilla, you will lead frontend development using JavaScript and React, contribute to backend work with Python and Django, and enhance user privacy and security in various projects. Responsibilities include collaboration with cross-functional teams, optimization of system performance, code reviews, and mentoring junior engineers.

As a Senior Software Engineer at Mozilla, you will lead frontend development, contribute to backend work, and handle privacy-centric projects like email and phone number masking. You will work closely with DevOps, monitor system performance, and collaborate with cross-functional teams to ensure high-quality code and system reliability.

As a Senior Software Engineer, you will lead the frontend development using modern frameworks, contribute to backend development, design privacy-focused solutions, and collaborate with DevOps for deployment and system performance monitoring. Additionally, you will mentor junior engineers and engage in code quality reviews.

The Staff Test Engineer will design, develop, and maintain test strategies for Mozilla products, build tools for quality feedback, write and maintain automated tests, guide other test engineers, manage shipping logistics, and contribute to a healthy team culture. The role emphasizes collaboration with various teams to ensure software quality.

The Staff Test Engineer will design and maintain testing strategies for Mozilla products, build automated tests, and collaborate with various teams to improve product quality. They will also mentor junior engineers and contribute to a positive team culture.

The Staff Test Engineer will design and maintain test strategies for Mozilla products, build automation tools, guide teams in testing practices, manage CI pipeline logistics, and mentor junior engineers while advocating for quality assurance.

The Staff Machine Learning Engineer will lead the development and integration of Generative AI solutions in Firefox, collaborating with cross-functional teams. Responsibilities include building infrastructure for model training, ensuring model reliability, and optimizing performance.

As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox, collaborating with various teams to design, build, and integrate machine learning models. Your responsibilities include creating infrastructures for model training and inference, implementing validation processes, and optimizing model performance in production environments.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox. Responsibilities include building infrastructure for model training and inference, implementing validation procedures, and optimizing deployed models. The role involves collaboration with cross-functional teams and requires significant experience in machine learning applications.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on training and integrating AI models, as well as optimizing their performance. This role also involves collaborating with cross-functional teams and ensuring the reliability of the models through robust validation procedures.

Lead the design and integration of Generative AI solutions in Firefox, develop infrastructure for training and inference of language models, implement testing procedures for reliability, and optimize model performance.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox. This role involves building infrastructure for training and inference of language and vision models, implementing validation procedures, and optimizing model performance.

The role involves leading the design and integration of Generative AI solutions in Firefox, building infrastructure for training and validating models, and optimizing deployed models for efficiency. The engineer will also collaborate with different teams to ensure the contributions effectively enhance the browser's capabilities.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.

As a Staff Machine Learning Engineer at Mozilla, you will lead the design and integration of Generative AI solutions for Firefox, build the infrastructure for LLMs and small models, implement validation and testing procedures, and optimize deployed models for performance.

As a Senior Staff Full-Stack Engineer at Mozilla, you'll work on the Solo AI Website Creator project, focusing on building and maintaining back-end infrastructure with Google Cloud and enhancing front-end experiences using React. You'll collaborate cross-functionally, manage technical specifications, lead standups, and contribute to code reviews while adapting to a fast-paced, startup-like environment.

As a Senior Staff Full-Stack Engineer on the Solo team, you will develop back-end infrastructure on Google Cloud and contribute to front-end experiences. Responsibilities include enabling service integrations, engaging in code reviews, and possibly leading project management activities while closely collaborating with design and product management teams.

The Marketing Data Science Manager will develop a strategic roadmap for marketing analytics, aligning with business objectives, defining marketing attribution goals, analyzing datasets to derive insights, and leading comprehensive measurement plans to optimize marketing strategies across various channels.

The role involves developing and implementing a strategic roadmap for marketing analytics, defining marketing attribution goals, analyzing complex data sets, and providing insights to optimize marketing strategies. The position requires collaboration across teams and thought leadership on marketplace trends.

Lead the development of marketing analytics strategies, ensuring alignment with business goals and driving ROI. Analyze complex datasets to provide actionable insights, oversee measurement plans, and act as a subject matter expert in marketing attribution and media innovations.