Research Scientist

The role

You will pioneer new research directions in planning, reinforcement learning, multimodal reasoning, grounding, human-agent interaction, and alignment. You will design and execute experiments from data collection to model training and evaluation.

What you will do

• Shape the future of agentic AI by pioneering new research directions.
• Design and execute experiments end-to-end.
• Develop new methodologies to advance AI agent capabilities and reliabilities.
• Collaborate closely with engineers to integrate research prototypes into product.
• Publish and present results at top-tier conferences.
• Advance the science hands-on through designing methods, building datasets, running experiments, and benchmarking.

Required qualifications

• PhD in Computer Science, Machine Learning, or related field, or equivalent research experience.
• Experience owning the complete research lifestyle from ideation to publication.
• Expertise in one or more areas: Pre-training, post-training, or fine-tuning LLMs/VLMs, Reinforcement learning and/or LLM-based agents, Computer vision and multimodal learning, Representation learning
• Consistent publication record as first author in leading conferences (NeurIPS, ICML, CVPR, ACL, etc.).
• Strong implementation skills in modern ML frameworks (PyTorch, JAX, etc.).
• Demonstrated ability to run complex experiments, analyze results, and iterate quickly.

About the company

Simular is a company working on agentic AI.