Deep Research Agent Tech Lead
Posted
$264,800 – $331,000 USD
Tech Stack
Responsibilities
- Define and own the technical strategy, architecture, and roadmap for Deep Research Agents, aligning with Scale AI’s overall AI strategy and business goals.
- Lead the end-to-end development from research to production deployment of Deep Research Agents, integrating diverse data modalities.
- Architect and implement state-of-the-art retrieval systems for accurate and comprehensive answers from public and proprietary data sources.
- Design and champion the development of data analysis agents that translate complex natural language queries into executable SQL/code.
- Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering innovation, rigorous engineering, and rapid iteration.
Soft Skills
Written CommunicationVerbal CommunicationCross-Functional Collaboration
Benefits
- Equity
- Health Insurance
- Dental
- Vision
- 401k
- Learning Budget
- Flexible PTO
- Commuter Benefits
Culture
InnovationMentorship ProgramRapid IterationInclusive HiringEqual Opportunity Workplace
Requirements
Required: Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
Preferred: Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Regions: Us
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About Scale
Industry: ai
Size: enterprise
Scale AI is building the data infrastructure behind the world's most capable AI systems, providing high-quality data and full-stack technologies to power leading models and help enterprises and governments deploy AI applications.
View company profile →Compensation
Base salary: $264,800 – $331,000 USD
Equity: equity based compensation, subject to Board of Director approval