Location
San Francisco, CA
Salary
Not specified
Type
fulltime
Posted
Today
Job Description
Conducting LLM research at SCALE - They’re set to be THE metric for how we react with AGI. Not just probing the limits of LLMs, but actually pushing beyond them and led by globally renowned \& respected innovators. They’re uniquely placed to dominate the AI landscape for years.
With over a quarter of a billion dollars raised, 9-figure ARR, and a killer team of former frontier lab / FAANG SMEs and early hires into some of the fastest growing and most successful AI orgs on the planet.
Just an elite team solving problems most orgs won’t even attempt and moving fast enough to actually ship them. Titles here are irrelevant. They care about people who can think, build, and execute at the highest level.
This a unique chance to sit close to the research, own the loop, redirect an entire field, and obtain career defining trajectory
A confidential role for genuinely the 0\.1%
If you've led research (pre or post training) or innovated with LLMs, Diffusion Models, Reinforcement Learning, or wider Transformer Architecture. We want to here from you!
Must haves..
- PhD - \> CS / ML or similar
- 2\+ years of industry experience
- Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.
- Hands-on experience training large-scale models, including reward models, \& preference models.
- Ideally at least 1x Tier 1 1st Author publication \& proven track record of driving impact - \> models, deployments, etc..
Get in touch today for more details!
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