Top Tech Jobs & Startup Jobs

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.

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.

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.

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 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.

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.