Baseten hires post‑training role
Baseten posted a Post‑Training Research Engineer role in San Francisco, signaling an investment in post‑training optimization and model ops work. The opening landed Mar 23 and looks like a hiring signal for infra and post‑training productization. (linkedin.com)
Baseten’s opening appears across multiple job boards as a Post‑Training / Post‑Training Applied Research role based in San Francisco, with listings on Baseten’s Ashby jobs page and Built In confirming the position title and location. (jobs.ashbyhq.com) (builtin.com) The posting explicitly calls for designing and executing large‑scale experiments — the description references multi‑node runs and 1T+ parameter models, plus expectations to publish at top ML venues and translate research into production improvements. (empllo.com) Multiple aggregator pages list the role’s compensation band around $200K–$285K and show San Francisco as the worksite, indicating a senior, on‑site research engineer/applied scientist hire. (ziprecruiter.com) (jobgether.com) Baseten announced a $300M funding round at a $5B valuation on Jan. 23, 2026 with IVP, CapitalG and NVIDIA among anchor investors, a capital event that underwrites expanded investment in inference and post‑training tooling. (businesswire.com) The company’s own blog and careers pages cite rapid inference growth (noting “inference volume grew 100x”) and name enterprise customers such as Cursor, Notion, Abridge, Clay and Gamma, aligning the new hire with customer‑facing model performance and productization needs. (baseten.co 1) (baseten.co 2) Baseten’s hiring footprint shows dozens of open roles across engineering and ML teams (startup job trackers list ~42 openings), signaling a broader scale‑out of infrastructure and model‑ops capabilities that a post‑training research hire would feed into. (startup.jobs) (baseten.co)
