
Artificial Intelligence • SaaS • Cloud Computing
Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.
April 22
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Google Cloud Platform
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Artificial Intelligence • SaaS • Cloud Computing
Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.
• Building the foundation for decentralized AI development at scale. • Work on developer-facing platform for AI workload management. • Develop underlying distributed infrastructure for training systems. • Build intuitive web interfaces and develop REST APIs in Python. • Design and implement distributed training infrastructure in Rust. • Opportunity to contribute to broader AI community through research.
• Strong Python backend development (FastAPI, async) • Modern frontend development (TypeScript, React/Next.js, Tailwind) • Experience building developer tools and dashboards • RESTful API design and implementation • Systems programming experience with Rust • Infrastructure automation (Ansible, Terraform) • Container orchestration (Kubernetes) • Cloud platform expertise (GCP preferred) • Observability tools (Prometheus, Grafana) • Experience with GPU computing and ML infrastructure • Knowledge of AI/ML model architecture and training • High-performance networking implementation • Open-source infrastructure contributions • WebSocket/real-time systems experience
• Competitive compensation with significant equity and token incentives • Flexible work arrangement (remote or San Francisco office) • Full visa sponsorship and relocation support • Professional development budget for courses and conferences • Regular team off-sites and conference attendance • Opportunity to shape the future of decentralized AI development
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