Role Overview
We are hiring for one of our clients, seeking a STEM AI Agent Research Specialist to work on a contract basis.
The role involves conducting deep research on emerging AI technologies, specifically focusing on agent-based systems in STEM fields.
You will analyze research papers, identify trends, and evaluate the feasibility of integrating these technologies into practical applications.
Key Responsibilities
- Conduct systematic literature reviews on AI agent research in STEM domains, including but not limited to robotics, computational biology, and materials science.
- Identify and synthesize key findings from peer-reviewed papers, patents, and technical reports to inform decision-making.
- Assess the scalability and performance of AI agent systems for real-world STEM applications.
- Collaborate with cross-functional teams to translate research insights into actionable development strategies.
- Maintain up-to-date knowledge of advancements in AI agents, reinforcement learning, and multi-agent systems.
Required Skills & Qualifications
- Master’s degree or higher in Computer Science, Artificial Intelligence, or a closely related STEM field.
- 3+ years of experience in AI research, with a focus on agent-based systems or autonomous decision-making.
- Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow.
- Strong analytical skills with experience in evaluating technical papers, datasets, and algorithmic performance.
- Ability to communicate complex technical concepts to non-expert audiences in written and verbal formats.
More About the Opportunity
This role offers a unique opportunity to work with a global leader in the technology and information industry, contributing to the development of cutting-edge AI solutions that bridge research and practical applications.
The position is ideal for professionals who thrive in collaborative, intellectually stimulating environments and seek to make an impact in advancing AI technologies.
Equal Opportunity Employer
We hire based on skills and expertise.
All qualified candidates are welcome regardless of background, experience, or prior employment history.
Applications are reviewed solely on demonstrated technical ability and qualifications.