2 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
Base Salary
$179k - $224k/yr
Responsibilities
- Own large new areas within the enterprise Generative AI product.
- Work across backend and frontend systems while interacting with LLMs and ML models.
- Deliver high-velocity, high-quality experiments to engage customers.
- Manage work across the product lifecycle from conceptualization through production.
- Solve engineering problems involving scalability and reliability.
- Multitask and learn new technologies quickly.
Requirements
- 4+ years of full-time engineering experience after graduation.
- Experience scaling products at hyper-growth startups.
- Experience tinkering with or productizing LLMs, vector databases, and emerging AI technologies.
- Proficiency in Python or JavaScript/TypeScript and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers including AWS, Azure, or GCP.
Benefits
- Base salary, equity, and benefits may be available for eligible roles.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, a learning and development stipend, and generous paid time off.
- The role may be eligible for a commuter stipend.
- This is a full-time position with the listed base salary range applying to San Francisco, New York, and Seattle locations.
- Scale requires a 90-day waiting period before reconsidering candidates 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.