Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training AI models at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses to build them. This role involves building Prime Agent, an open-source coding and research agent, and will span product development and underlying agent systems. You will own features end-to-end, from design through deployment and monitoring, shipping at the pace of an early-stage company tackling a critical problem in AI.

$150k - $300k

Prime Intellect is building the open superintelligence stack, a platform that unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. This role focuses on building the hosted training platform, enabling users to launch fine-tuning runs on managed GPU clusters with ease. The position spans both the developer-facing platform and the underlying Kubernetes-based training infrastructure, requiring a blend of AI/GPU knowledge, Kubernetes expertise, and strong programming skills.

$150k - $300k

Prime Intellect is building the open superintelligence stack, a platform designed to provide AI labs with the infrastructure they need to develop advanced AI models. Their platform, Lab, unifies compute, environments, evaluations, secure sandboxes, and high-performance training and deployment for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. The company is focused on creating open-source models trained for long-horizon tasks and the full-stack platform required for their development. They are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market strategies for a nascent category.

$150k - $300k

Prime Intellect is building the open superintelligence stack, a full-stack system that unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are seeking a Member of Technical Staff focused on GPU Infrastructure to join our team. This customer-facing role requires deep technical expertise to design, deploy, and optimize GPU cluster architectures for AI labs and ambitious AI teams. You will work at the intersection of frontier research, real infrastructure, and go-to-market for a new category of AI computing.

$150k - $300k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for frontier-scale post-training, including SFT, RL, tool use, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M and is seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market strategies for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a platform designed to provide AI labs with the infrastructure they need for advanced AI development. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. This role focuses on the critical compute aspect, aiming to create a data infrastructure and intelligence platform that provides a real-time, accurate view of the company's compute resources, including supply, demand, and bottlenecks. This is a hands-on data engineering role where you will establish the data warehouse, develop pipelines to ingest data from various sources, model this data into a reliable source of truth, and create dashboards and a queryable layer for company-wide use. The foundations laid in this role will serve as the data backbone for the company's scaling efforts.

$225k - $300k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for frontier-scale post-training, including SFT, RL, tool use, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. This role is at the intersection of cutting-edge RL/post-training methods and applied agent systems, with a direct impact on how advanced models are aligned, deployed, and used. You will advance agent capabilities, build robust infrastructure, bridge applications and research, and prototype in the field.

$150k - $300k

Prime Intellect is seeking a Forward-Deployed Research Engineer (FDRE) to act as the primary technical liaison between the company and its key clients, including AI companies, research labs, and enterprises. This role involves embedding with customers to understand their models, workflows, and objectives, and then translating these into practical training runs, environment designs, evaluation frameworks, and deployment strategies using the Lab platform. You will be instrumental in ensuring the platform's effectiveness for real-world applications and will collaborate with internal research, product, and infrastructure teams to integrate customer feedback and shape future development.

$150k - $300k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, encompassing compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models for long-horizon tasks and the platform our research team uses to build them. This role is customer-facing, operating at the intersection of cutting-edge RL/post-training methods, applied data, and agent systems. You will directly influence how advanced models are aligned, evaluated, deployed, and used in the real world by advancing agent capabilities, building robust infrastructure, bridging customer needs with research, and prototyping in the field.

$150k - $300k