Jobs at X, The Moonshot Factory

The Senior Backend Software Engineer will develop and implement a data platform with LLM-enabled capabilities, optimize data processes, and collaborate with cross-functional teams to meet operational needs.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

As a Staff Backend Software Engineer, you'll design and implement software for Tapestry's analytical tools in energy, collaborating with cross-functional teams to optimize performance and scalability.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

The Engineering Manager will lead the Data Platform team, overseeing the creation of a digital replica of the electricity networks and guiding the development of autonomous systems, while also managing and mentoring team members.

Design and build foundational software for AI to interface with biological data, work with scientists, and manage full-stack responsibilities.

As a Staff Backend Software Engineer, you will design and implement high-performance backend infrastructure for energy intelligence applications, collaborating with engineers and domain experts to deliver solutions and prototypes.

As a Senior Computational Scientist, you will develop and optimize decision-making logic for grid operations and lead software design for energy systems addressing complex optimization challenges.

The Lead Recruiter will define and execute talent strategies, manage a team, and drive innovative recruitment processes for specialized roles in a competitive market.

Translate multi-modal AI research into production products and prototypes. Define front-end and back-end system strategy, build full-stack external and internal systems, and leverage AI tooling for development. Collaborate with small teams, lead engineering efforts, and work with external partners to drive early-stage product development.

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.

Lead a team developing multimodal ML frameworks for Tapestry, focusing on machine learning architecture, deployment, and collaboration with stakeholders to enhance energy grid systems.

The Business Development Lead at Tapestry will identify, prioritize, and advance strategic partnerships in the energy sector, collaborating with internal teams to align opportunities with Tapestry's product roadmap.

The Business Innovator will lead strategy, conduct market analysis, build partnerships, and support investment readiness for moonshot projects at X.

This role involves leading the Infrastructure and DevOps team to build a reliable and scalable AI-enabled energy grid. Responsibilities include cloud architecture, developer empowerment, incident management, and fostering operational excellence.

The Executive Business Partner supports executives by managing administrative tasks, optimizing workflows, fostering collaboration, and leading project initiatives to drive operational excellence and strategic goals.

The Partner Operations Manager supports moonshot teams by managing accounts and vendor relationships, improving operational processes, and facilitating project graduation.

The role involves developing operations research models and algorithms while collaborating with project teams, intended for PhD candidates interested in machine learning applications.

The role involves developing high-performance web applications, collaborating with teams to implement features, ensure code quality, and design user interfaces for the electric grid domain.

The role involves developing full-stack AI enterprise software, from design to deployment, mentoring teammates, and integrating AI into software environments.