Recruiting from Scratch
Who is Recruiting from Scratch:
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
Salary Range: $100,000-$300,000 base.
About the Role
A dynamic and innovative team is seeking a leader for their Agent Design group, focused on building advanced systems of agents that autonomously complete end-to-end workflows. In this role, you'll collaborate closely with the machine learning research team to integrate the latest advancements, run cutting-edge experiments, and bring innovative ideas to life.
The ideal candidate has experience or a strong interest in areas such as large language models (LLMs), agent architectures, information theory, and reinforcement learning (RL).
Responsibilities
This is a unique opportunity to lead impactful projects at the intersection of agent design, ML research, and workflow automation.
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
Salary Range: $100,000-$300,000 base.
About the Role
A dynamic and innovative team is seeking a leader for their Agent Design group, focused on building advanced systems of agents that autonomously complete end-to-end workflows. In this role, you'll collaborate closely with the machine learning research team to integrate the latest advancements, run cutting-edge experiments, and bring innovative ideas to life.
The ideal candidate has experience or a strong interest in areas such as large language models (LLMs), agent architectures, information theory, and reinforcement learning (RL).
Responsibilities
- Agent Development : Design, build, and refine agents capable of executing complex workflows, specifically within accounting and related domains.
- Architectural Prototyping : Prototype and test different system architectures to tackle increasingly challenging tasks effectively.
- ML-Driven Optimization : Develop machine learning strategies to address optimization problems, leveraging state-of-the-art techniques.
This is a unique opportunity to lead impactful projects at the intersection of agent design, ML research, and workflow automation.