Member of Technical Staff - ML Infrastructure Engineer, Post-training
Preference Model · San Francisco, California, United States
Pay
$180k–300k
Setting
On-site
We are looking for Senior ML Infrastructure Engineers to build the systems that power the frontier of post-training on large language models. This role involves building scalable infrastructure to enable high-throughput systems and shape how our research is run, bringing us closer to models that can train themselves on what they aren't yet good at.
Listed by Preference Model for a position based in the United States. Employers on this board attest they are hiring domestically.