Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

What you'll do

• Develop agent frameworks that improve from execution traces, user feedback, and environmental signals.
• Build log analytics pipelines to identify quality signals, usage patterns, and actionable insights.
• Apply LLM post-training, reasoning, and planning techniques, and collaborate to bring research into production systems.

What they ask for

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
• Strong foundation in machine learning, deep learning, reinforcement learning, or optimization.
• Research experience in at least one listed area, including LLM-based agents, planning and reasoning, multi-agent systems, continual/lifelong learning, or LLM post-training.
• Strong Python programming skills, proficiency with ML frameworks, and a publication record at top-tier venues.

Nice to have

• Publications or research experience related to agent learning, adaptation, LLM reasoning, planning, or fine-tuning.
• Hands-on experience building or evaluating LLM agents, feedback-driven optimization, or production-scale AI systems.

Tools

Python, PyTorch, TensorFlow, JAX

AI focus

Research on continual self-improvement of LLM agents, including adaptive runtime, experience compilation, evaluation-governance loops, post-training, reasoning, and planning.