# PhD Research Intern - Company: [Simular]() - Location: Palo Alto · Singapore - Team: Research - Employment type: Intern - Posted: October 13, 2025 ## Job description Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing. **What you’ll do** As a PhD intern, you will: * Collaborate with research scientists to advance methods in: + Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge) + Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models) + Reward/judge modeling (e.g. error analysis, human evaluation, training judge models) + User intent understanding (e.g. modeling vague queries, preference learning) * 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 **You might be a fit if** * 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) * Curiosity, initiative, and interest in bridging fundamental research with applied AI ## Apply [Apply on Simular]() Canonical job page: