Checkpointing Jobs
3 open roles mentioning Checkpointing
Research Engineer - Pretraining
Prime Intellect
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
Research Engineer, ML Infrastructure
Chai Discovery
Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.
Member of Technical Staff, Pre-training Systems
Magic.dev
As a Research Engineer on the Pre-training Systems team, you will design and operate the distributed infrastructure that trains Magic’s long-context models at scale. This role focuses on large-scale model training across massive GPU clusters, working at the boundary between deep learning and distributed systems to ensure training runs are performant, reliable, and reproducible under extreme scale. You will own the systems that make large-scale pre-training stable and fast, addressing challenges like sustained memory pressure, communication overhead across thousands of devices, long-running jobs that must survive failures, and efficient sequence packing under hardware constraints.
$275k - $550k