AI Research Scientist

Skills this role screens for

About the role

Lexsi is hiring for the Role of AI Research Scientist!

The work

Responsibilities of the Candidate

• Conduct foundational research on multi-agent reinforcement learning, agent exploration, continual learning, and scalable alignment strategies.
• Design and evaluate algorithms that improve the learning efficiency, coordination, and controllability of large AI systems.
• Develop methods for interpreting and analyzing internal model behavior, including representation analysis, circuit discovery, and causal reasoning tools.
• Investigate alignment techniques such as reward modeling, safety fine-tuning, pruning, unlearning, and training-time behavioral control.
• Explore information-theoretic and causal approaches for understanding how models represent knowledge and make decisions.
• Build research infrastructure and experimental frameworks for RL training, alignment experiments, and large-scale evaluation.
• Publish research in leading venues and contribute to open-source tools and alignment research infrastructure.

Who they want

Requirements

• PhD or Masters or equivalent research experience in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, Physics, or related fields.
• Strong background in reinforcement learning, multi-agent systems, large language models, interpretability, deep learning theory, or information-theoretic ML.
• Proven ability to conduct independent research and publish in top-tier AI conferences such as NeurIPS, ICML, ICLR, ACL, CVPR, or AAAI.
• Hands-on experience training and experimenting with models using frameworks such as PyTorch, JAX, or TensorFlow.
• Strong programming and experimentation skills in Python and modern ML research tooling.
• Demonstrated interest in AI alignment, safety, interpretability, or trustworthy AI systems.