3 months ago
Base Salary
$252k - $315k/yr
Responsibilities
- Deploy flexibly into critical product initiatives across the Contributor organization.
- Lead the architectural overhaul of platform infrastructure for sustainability, robustness, scalability, and AI-native integration.
- Lead architecture decisions involving scalability, reliability, and performance.
- Work across backend, frontend, and ML systems.
- Mentor and uplevel engineers across the team.
- Partner with product and leadership to shape roadmaps and priorities.
- Own large, ambiguous problem spaces end-to-end and act as an organizational architect and tech lead.
Requirements
- At least 7 years of full-time engineering experience after graduation.
- Proven experience operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale.
- Experience tinkering with or productizing LLMs, vector databases, and other AI technologies.
- Proficiency in JavaScript, TypeScript, and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers including AWS, Azure, or GCP.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, generous paid time off, and potentially a commuter stipend.
- Full-time position located in San Francisco, New York, or Seattle, as referenced by the posting subtitle.
- A 90-day waiting period applies before reconsideration for the same role.
Categories
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.