8 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
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 AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.