Snorkel AI posts infra openings
Snorkel AI listed open positions for Training Infra Engineer, Research Scientist, and Sr Manager Applied AI Research — a clear hiring signal for teams that will expand compute footprints. Those roles match predictable demand for larger training clusters and reproducible MLOps tooling. (x.com)
The infra-focused posting explicitly lists hands‑on ownership of GPU cluster provisioning, multi‑node distributed training orchestration, and integration with cloud providers (mentions AWS/HyperPod in examples). (aijobs.ai) The same job descriptions call for building and operating job orchestration/scheduling systems such as Kubernetes or Slurm and maintaining experiment tracking, dataset versioning, and model artifact pipelines. (app.welcometothejungle.com) Public job boards show advertised compensation bands: the training/infra role is listed at roughly $150K–$180K, while the Senior Manager, Applied AI Research posting shows a $270K–$320K range. (builtin.com) (theladders.com) Multiple research‑level openings appear alongside infra roles, with research scientist/ staff researcher listings carrying ranges in the ~$175K–$275K neighborhood depending on level. (tealhq.com) (builtin.com) The listings are posted across Snorkel’s Greenhouse careers page and aggregated on Built In, Teal, ZipRecruiter and others, and indicate hybrid or remote options with San Francisco / Redwood City as nexus locations. (job-boards.greenhouse.io) (builtin.com) Snorkel announced a $100M Series D led by Addition in late May 2025 and said it would scale engineering and research efforts — the timing and language in that press coverage match the current spike in infra and applied‑research hiring. (businesswire.com) (coverager.com)
