Simular is seeking a Research Scientist to advance AI research, focusing on areas such as reinforcement learning and human-agent interaction. The ideal candidate will hold a PhD or equivalent experience, have a strong publication record, and demonstrate proficiency in modern machine learning frameworks
Job Summary
Shape the future of agentic AI by pioneering new research directions in planning, reinforcement learning, multimodal reasoning, grounding, human-agent interaction, and alignment.
Design and execute experiments end-to-end: from data collection and benchmarking, to model training and evaluation.
Collaborate closely with engineers to integrate research prototypes into product and publish and present results at top-tier conferences.
Matching Summary
Match Score: 85
Simular is seeking a Research Scientist to advance AI research, focusing on areas such as reinforcement learning and human-agent interaction. The ideal candidate will hold a PhD or equivalent experience, have a strong publication record, and demonstrate proficiency in modern machine learning frameworks.
Skills & Requirements
Must-have
Agentic AI research
Planning and reinforcement learning
Multimodal reasoning and grounding
Human-agent interaction
AI safety and alignment
End-to-end experiment design
Publishing research in top-tier conferences
Nice-to-have
Pushing AI boundaries
Collaborating with world-class teams
Advancing academic and product impacts
Passion for high-impact research
Key Requirements
PhD in Computer Science, Machine Learning, or related field
Experience owning complete research lifecycle
Expertise in LLMs/VLMs, RL, computer vision, representation learning
Consistent first-author publication record
Strong implementation skills in modern ML frameworks