Base Salary
$216k - $270k/yr
Responsibilities
- Architect multi-cloud systems and abstractions for running the platform on existing cloud providers
- Build custom integrations with customer cloud platforms, data warehouses, and internal APIs
- Collaborate with platform, product, and customer teams to develop scalable infrastructure
- Deliver high-velocity, high-quality experiments for customers
- Work across the full product lifecycle from conceptualization through production
- Learn new technologies quickly and manage multiple priorities
Requirements
- 4+ 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 AI technologies
- Proficiency in Python or JavaScript/TypeScript and SQL
- Experience with Kubernetes
- Experience with AWS, Azure, and GCP
- Ability to explain technical concepts to technical and non-technical audiences
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Potential commuter stipend
- Full-time position located in San Francisco, New York, or Seattle, as specified by the posting subtitle
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.