Base Salary
$181k - $315k/yr
Responsibilities
- Train state-of-the-art internal and community-developed models for deployment to enterprise customers.
- Research cutting-edge algorithms and integrate them into the training stack.
- Build agents using proprietary agent-building algorithms to automatically improve datasets.
- Define high-performing tools, multi-agent systems, and complex reward structures.
Requirements
- 1–3 years of experience building with large language models in a production environment.
- Experience with post-training methods such as RLHF and RLVR, plus related algorithms including PPO and GRPO.
- Publications at top conferences such as NeurIPS, ICLR, or ICML within the last two years.
- PhD or Master’s degree in computer science or a related field.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Additional benefits may include a commuter stipend.
- Full-time position located in San Francisco, New York, or Seattle.
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.