Staff Applied AI Engineer, Enterprise GenAI
Tech Stack
Agent Workflow
Build advanced multimodal AI agents with tool-calling on Scale's Generative Platform (SGP) for enterprise customers in cybersecurity, journalism, and genomics.
About the Role
About Scale AI
Scale AI seeks an applied AI engineer to work on the Scale Generative Platform (SGP) ML team. The company operates as a leading AI data foundry and recently completed Series F funding.
About the role
This role involves partnering with enterprise clients to develop machine learning solutions addressing complex business challenges across sectors including cybersecurity, journalism, and genomics. You will build advanced AI agents on SGP, including multimodal functionality and tool-calling capabilities.
Responsibilities
- Own and optimize AI solutions for enterprise customer technical problems
- Build advanced AI agents with multimodal functionality and tool-calling capabilities
- Translate business requirements into technical implementations
- Maintain regular client collaboration both onsite and virtually
- Contribute production code across customer and Scale codebases
- Learn new technologies quickly in dynamic environments
Requirements
- 7+ years post-graduation engineering experience
- Bachelor's degree in Computer Science, Mathematics, or equivalent quantitative background
- Python proficiency (NumPy, Pandas libraries)
- Cloud platform experience (AWS or GCP)
- Data-driven ML model iteration experience
Preferred
- Software engineering best practices knowledge
- Production generative AI application development
- Understanding of leading LLM strengths and limitations
Compensation
Base salary: $216,000 - $270,000 USD
Benefits
Base salary plus equity, health, dental, vision coverage, retirement benefits, learning stipend, generous PTO, potential commuter stipend.
