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Research Scientist

Simular· Research
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Palo Alto, SingaporeFull-timePosted 10mo ago

About the role

Research Scientist at Simular focusing on agentic AI, planning, reinforcement learning, multimodal reasoning, grounding, human-agent interaction, and alignment. Responsibilities include end-to-end experiments, developing methodologies, collaborating with engineers, publishing results, and advancing AI research with state-of-the-art benchmarking.

Responsibilities

  • Shape the future of agentic AI by pioneering new research directions in planning, reinforcement learning, multimodal reasoning, grounding, human-agent interaction, and alignment (e.g. reward modeling, automated task evaluation, AI safety).
  • Design and execute experiments end-to-end: from data collection and benchmarking, to model training and evaluation.
  • Develop new methodologies that push the boundaries of AI agent capabilities and reliabilities, advancing both academic and product impacts, in collaboration with world-class scientists and engineers.
  • Collaborate closely with engineers to integrate research prototypes into product
  • Publish and present results at top-tier conferences, contributing to the broader AI research community.
  • Advance the science hands-on through designing methods, building datasets, running experiments, and benchmarking against state of the art.

Qualifications

  • PhD in Computer Science, Machine Learning, or related field, or equivalent research experience.
  • Experience owning the complete research lifestyle: leading and executing a research program from ideation all the way to publication.
  • Expertise in one or more of (but not limited to) the following areas: - Pre-training, post-training, or fine-tuning LLMs/VLMs - Reinforcement learning and/or LLM-based agents - Computer vision and multimodal learning - Representation learning and embeddings.
  • 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.
  • Passion for high-impact research with real-world applications.
  • Ambition and vision to redefine what’s possible in AI research and deployment.

Skills

Required:PhD or equivalent research experienceResearch program ownershipLLMs/VLMs expertisePublicationsML frameworks
Nice to have:Reinforcement learningComputer vision and multimodal learningRepresentation learning
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Simular

The Autonomous Computer Company

Simular AI delivers open-source, intelligent AI agents powered by leading research to automate computer tasks, streamline workflows, and enhance productivity. Transform your digital experience today!

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