over 1 year ago
Base Salary
$188k - $235k/yr
Responsibilities
- Own large new areas within the Scale GP product
- Work across backend, frontend, LLMs, and ML models
- Deliver high-velocity, high-quality experiments to engage customers
- Own work across the product lifecycle from conceptualization through production
- Solve complex engineering problems involving scalability and reliability
- Multitask and learn new technologies quickly
Requirements
- At least 5 years of full-time engineering experience post-graduation
- Experience scaling products at hypergrowth 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 major cloud providers such as AWS, Azure, or GCP
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
- 90-day waiting period 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.