The opportunity
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles.
What you'll do
Practical experience working with LLMs, with proficiency in frameworks like: Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
A track record of published research in top ML venues (e.g., ACL, EMNLP,: NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
At least three years of experience addressing sophisticated ML problems,: either in a research setting or product development.
Strong written and verbal communication skills and the ability to operate cross-functionally.
Hands-on experience with open source LLM fine-tuning or involvement in: bespoke LLM fine-tuning projects using Pytorch/Jax.
Hands-on experience and publications in building applications and evaluations: related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
What they're looking for
- Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
- Experience working with cloud technology stack (eg. AWS or GCP) and: developing machine learning models in a cloud environment.
