Job Summary
The role involves designing and refining multi-agent systems to guarantee their safe, reliable, and autonomous operation. The position also encompasses the development and upkeep of scalable evaluation frameworks and tools that identify regressions and facilitate ongoing enhancements.
Responsibilities
- Develop and iterate on multi-agent architectures to ensure optimal system safety and reliability.
- Create and manage scalable evaluation pipelines for performance assessment.
- Implement instrumentation to recognize regressions and support continuous improvement efforts.
Qualifications
- A technical degree in Computer Science, Physics, Mathematics, or a related discipline from a prestigious institution is required.
- Experience ranging from four to twelve years in the field of machine learning engineering, with a significant emphasis on applications involving LLM-based agents.
Raydar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
