Responsibilities
- Own large new areas within the Scale Generative AI product.
- Work across backend and frontend systems while interacting with LLMs and ML models.
- Deliver high-velocity, high-quality experiments that engage customers.
- Work across the full product lifecycle from conceptualization through production.
- Solve challenging scalability and reliability problems in large-scale distributed systems.
- Multitask and learn new technologies quickly.
Requirements
- 7+ years of full-time engineering experience post-graduation.
- Experience scaling products at hyper-growth startups.
- Experience tinkering with or productizing LLMs, vector databases, and other emerging AI technologies.
- Proficiency in Python or JavaScript/TypeScript and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers such as AWS, Azure, or GCP.
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.