Jobs at X, The Moonshot Factory

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

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.

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.

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

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

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

Lead People infrastructure and analytics on GCP: own product strategy, data architecture, complex Google SQL queries, and build dashboards (Looker/Tableau). Write PRDs, design workflows, manage vendor security/compliance, integrate Generative AI, maintain systems and automations, triage technical backlog, and mentor one junior analyst.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

Join an AI residency to prototype ML and AI solutions for business process optimization, build data pipelines and large-scale analyses, collaborate cross-functionally, evaluate project value chains and risks, and engage with the resident community while advancing research on agentic systems and LLM-based workflows.

The Research Engineer will develop and deploy machine learning applications focused on severe weather, collaborating on system processes, and maintaining production environments.

Tapestry seeks passionate individuals for future roles in engineering, operations, and energy systems, focusing on clean energy and innovation.

This role involves leading innovation projects at X, developing breakthrough technologies from inception to product launch, and creating external partnerships.

Lead and organize early-stage geoscience AI initiatives: coordinate workstreams, manage partners, define metrics, run experiments, document progress, and act as the GM proxy to remove roadblocks and scale prototypes into products.

Design front-end experiences for next-generation AI models and agents at early product stage. Conceptualize interfaces beyond chat, build rapid prototypes and wireframes, collaborate with engineers and researchers, conduct user research and usability testing, and iterate designs based on data and technical constraints in a fast-moving environment.

As a hardware engineer at Materra, you'll lead hardware integration for projects focused on AI and robotics in recycling, guiding junior engineers and collaborating with software teams.

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

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.

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