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Lead practical training on specifying and implementing AI solutions for organizations. Deliver lessons and workshops, mentor learners through their training and final organizational project, and demonstrate automation and end-to-end AI agent development. Remote, part-time work with flexible hourly安排

Lead applied research that connects generative AI advances with production-ready solutions. Collaborate with enterprise partners to develop novel generative media workflows and extend multimodal model capabilities.

A space-industry R&D team seeks an engineer to develop robotics and imaging test setups, integrate hardware, automate data collection, and support laboratory systems.

Volunteer role developing AI models that combine text, images, speech and other modalities. The opportunity is unpaid and does not guarantee future employment or compensation; any future paid appointment would require funding, approval and a separate written agreement.

Join a personalization team to conduct data-driven research and bring machine learning models into production for real-time player experiences.

Develop research-driven machine learning models and predictive systems for clinical outcomes, treatment effects, and patient trajectories. Turn advanced research into robust, production-ready technology in collaboration with research, clinical, data, product, and engineering teams.

Lead the software stack and engineering organization for high-efficiency AI inference workloads in data centers. This is a hands-on executive role spanning silicon-adjacent development, AI software infrastructure, and early customer releases.

Lead information systems projects and design processes and integrations across organizational core systems. Work with business stakeholders from requirements definition through implementation and deployment.

Provide technical leadership for ONTAP-based cloud storage solutions. Advise customers and internal teams on architecture, operations, and optimization across public cloud environments.

Lead a team conducting low-level technical research and developing production-ready software capabilities for a cyber intelligence product. Combine hands-on engineering with research direction, team leadership, and cross-functional collaboration.