As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox. Your responsibilities include designing and integrating these solutions, building infrastructure for model training and inference, and ensuring the reliability of models through robust validation. You'll also collaborate with multiple teams to enhance AI-driven experiences for users.

As a Staff Machine Learning Engineer, you 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, ensuring model reliability, and optimizing their performance while collaborating with cross-functional teams.

As a Staff Machine Learning Engineer at Mozilla, you will lead the design and integration of Generative AI solutions in Firefox, build infrastructure for model training, and ensure model reliability. You'll manage AI development processes and collaborate across teams to enhance product experiences.

The Lead Engineer for Common Voice will guide a small team in developing a platform for collecting voice data for AI. Responsibilities include overseeing technical decisions, mentoring team members, ensuring platform security and performance, and collaborating with cross-functional teams to deliver high-quality products.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on robust model training and inference infrastructure, validation procedures, and performance optimization in collaboration with cross-functional teams.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions into Firefox, develop infrastructure for LLMs, implement validation procedures, and optimize model performance in collaboration with cross-functional teams.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, creating infrastructure for model training and inference while collaborating with cross-functional teams. Responsibilities include building tools for model validation, testing, optimization, and performance monitoring in a user-friendly browser environment.

As a Staff Machine Learning Engineer at Mozilla, you'll lead the design and integration of Generative AI solutions in Firefox. Your responsibilities include building infrastructure for LLMs, implementing validation procedures, and optimizing deployed models, while collaborating with cross-functional teams to enhance product experiences.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, including building infrastructure for LLMs and validating models. This role requires collaboration with product management and engineering teams to ensure models perform efficiently and reliably.

The Staff Machine Learning Engineer will lead the development of Generative AI solutions, build training infrastructures for language and vision models, implement testing procedures, and optimize models for performance within the Firefox team.

As a Staff Machine Learning Engineer at Fakespot, you will apply statistical and machine learning techniques to analyze unstructured textual data, develop and finetune models, and optimize them for production. Collaboration with interdisciplinary teams to deliver high-quality solutions is crucial, along with staying updated with NLP advancements.

As a Senior Data Engineer at Mozilla, you will focus on managing and modeling data for analytics, collaborating with data scientists and engineers to develop scalable data models and ETL pipelines, improve data infrastructure, and ensure compliance with data governance practices.

As Lead Engineer for the Common Voice project, you will oversee a small engineering team, collaborating with product and design to develop an open-source platform for voice AI. Responsibilities encompass technical direction, mentoring, hands-on coding, security oversight, and community engagement, while ensuring the platform meets the needs of diverse global communities.

As a Senior Software Engineer on the Nimbus team, you will design and build scalable systems for Mozilla products, work on backend mobile SDKs, mentor team members, and improve the engineering culture while being accountable for service operations.

Responsible for shaping Thunderbird’s mobile platform, delivering improvements for a global user base, evolving application architecture, and ensuring performance and usability. The role involves managing complex software projects and mentoring community contributors.

As a Senior Security Engineer, you will secure systems and applications by implementing security controls, collaborating across teams, and continually improving the organization's security posture. Responsibilities include hardening infrastructure, developing security automation tools, and enhancing security practices through partnerships within teams.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions within Firefox, focusing on model training, deployment, validation, and performance monitoring. This role involves cross-functional collaboration and mentoring junior engineers to enhance AI development velocity.

As a Senior Android Engineer, you will shape the Thunderbird mobile platform, improve features for users, enhance application architecture, and ensure high-quality code through debugging and best practices. You will lead technical direction, collaborate with teams globally, and mentor community contributors while modernizing the existing codebase.

The Lead Engineer for Common Voice will oversee a small team, engaging in full-stack development while collaborating with product teams to shape the product roadmap. Responsibilities include leading technical decisions, managing other engineers, ensuring platform security and performance, and improving workflows with AI. You will also mentor team members and interact with the community to support project needs.

As a Senior Android Engineer, you will enhance Thunderbird’s mobile platform by developing new features, optimizing existing applications, and improving the architecture. You will work with the team to ensure performance and reliability, conduct code reviews, fix bugs, and mentor community contributors, while collaborating with a distributed global team.