AI Research Scientist, New Grad – Agents & Reinforcement Learning

What you'll do

• Design agentic frameworks, coding agents, and autonomous research agents; develop and evaluate their capabilities.
• Research reinforcement learning and multi-agent systems, and build training-data pipelines for agentic AI research.
• Publish research findings at leading AI venues.

What they ask for

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience).
• Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems.
• Research experience in LLM post-training, fine-tuning, or reasoning model development; demonstrated ability to implement and experiment with agentic architectures.
• Proficiency in Python and at least one deep learning framework; at least one first-author or co-authored publication or preprint in a relevant AI/ML area.

Nice to have

• PyTorch or JAX.
• Hands-on experience with coding or auto research agents; recursive self-improvement frameworks; distributed or efficient training; mathematical reasoning, structured decision-making, program synthesis, or domain-specific AI applications.

Pay

$176K – $230K (base salary; currency not stated)

Tools

Python, PyTorch, JAX, RLHF, DPO, PPO, NeurIPS, ICML

AI focus

Research and development of autonomous, self-improving agents, including coding and auto research agents, reinforcement learning, and multi-agent systems.