Research Scientist, LLM Agents (Foundational Research)

Overview

In this Research Scientist role, you will push the frontiers of agent-based AI and LLM research in a data-rich, academic-style environment. You will work on state-of-the-art methods, collaborating with global researchers to design, code, and evaluate innovative approaches. You will translate findings into publishable results and tangible deliverables for internal AI model development. This position blends fundamental research with real-world impact, within a culture that values rigorous experimentation and cross-institution collaboration.

Pay / Benefits

• Hybrid Work Model
• Flex My Way
• Work-from-anywhere up to 8 weeks per year
• Career Development and Growth
• Mental Health Days
• Headspace app

Responsibilities

• Innovate to create new state-of-the-art Agent AI/LLM approaches in agentic contexts
• Experiment and develop across the research and model development lifecycle, including coding and reporting
• Collaborate with a global team of researchers and engineers
• Communicate findings through seminars, conferences, publications, and technical assets

Key requirements

• PhD in a relevant discipline (completed or in progress)
• First-author publications at top-tier conferences with focus on agent systems, tool use, or multi-agent coordination
• Familiarity with deep learning frameworks (e.g. PyTorch, JAX, TensorFlow)
• Excellent communication skills, clear written and oral reporting
• Curious and innovative with ability to devise novel algorithmic solutions
• Self-driven with the ability to work with limited supervision
• Comfortable in fast-paced, agile environments and handling ambiguity

• Strong communication
• Curiosity and innovativeness
• Autonomous working style
• Agent-based systems
• Tool-use in AI
• Multi-agent coordination in LLM contexts

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