Our mission is to build, commercialize, and open source components and tools that make it easy for developers and users to develop AI agents to solve real-world use cases.

Mozilla.ai

 Develop tools to streamline development management and/or evaluation of models.  Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.  Prepare and preprocess datasets for model evaluation.  Run and manage experiments related to model evaluation and training.  Evaluate model performance using standard metrics and techniques.  Collaborate with other teams including product management and platform engineering to ship features.  Collaborate on the implementation of MLOps best practices to ensure smooth model deployment monitoring and maintenance.  Engage with internal and external stakeholders translating complex technical details into clear insights.  Contribute to the product engineering lifecycle from ideation to deployment and maintenance of new features. 

Remote Machine Learning Engineer, Philadelphia, PA

 Develop tools to streamline development management and/or evaluation of models.  Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.  Prepare and preprocess datasets for model evaluation.  Run and manage experiments related to model evaluation and training.  Evaluate model performance using standard metrics and techniques.  Collaborate with other teams to ship features.  Implement MLOps best practices for model deployment monitoring and maintenance.  Engage with stakeholders translating complex technical details into clear insights.  Contribute to the product engineering lifecycle from ideation to deployment and maintenance of new features. 

Remote Machine Learning Engineer, Boston, MA

Democratizing open-source AI to solve real user problems

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