PhD Research Intern

The role

You will collaborate with research scientists to advance methods in planning and RL for computer use, multimodal grounding, reward modeling, and user intent understanding. You will contribute to building datasets, running experiments, and documenting findings.

What you will do

• Collaborate with research scientists to advance methods in planning and RL for computer use
• Collaborate with research scientists to advance methods in multimodal grounding
• Collaborate with research scientists to advance methods in reward/judge modeling
• Collaborate with research scientists to advance methods in user intent understanding
• Contribute to building datasets, running experiments, and benchmarking results
• Explore novel approaches and help derisk Simular's long-term technical roadmap
• Document and communicate findings through internal reports or academic-style writing

Required qualifications

• Currently pursuing a PhD in Computer Science, Machine Learning, or related field
• Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
• Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
• Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)

Nice to have

• Curiosity, initiative, and interest in bridging fundamental research with applied AI

About the company

simular