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PhD Research Intern at Simular | Palo Alto

SimularPalo Alto
On-site Internship

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Experience Level

Entry Level

Qualifications

Qualifications:Currently enrolled in a PhD program in Computer Science, Machine Learning, or a related field. Research experience in at least one of the following: Reinforcement Learning, Large Language/Vision-Language Models, Computer Vision, and Multimodal Perception, or Representation Learning. Proven ability to conduct experiments and either publish or prepare papers for top-tier conferences such as NeurIPS, ICLR, ICML, CVPR, or ACL. Strong programming and prototyping skills in Python and familiarity with ML frameworks like PyTorch or JAX. Demonstrated curiosity and initiative with a keen interest in connecting fundamental research to practical AI applications.

About the job

At Simular, we are at the forefront of AI research, pushing the boundaries of what is possible in machine learning and artificial intelligence. We are seeking a passionate and driven PhD Research Intern to join our innovative team. This position may be based in any of our listed locations, with priority determined according to the order of listing.

Your Role:

  • Work closely with our talented research scientists to enhance methodologies in the following areas:

    • Planning and Reinforcement Learning (RL) for computer applications, including behavioral cloning and RL on model weights.

    • Multimodal grounding, focusing on vision-only models and hybrid methods incorporating large models.

    • Reward and Judge Modeling, encompassing error analysis and human evaluation.

    • Understanding user intent, particularly in modeling vague queries and preference learning.

  • Assist in dataset development, conduct experiments, and benchmark results.

  • Investigate innovative approaches to support Simular's long-term technical roadmap.

  • Document and share findings through detailed internal reports and academic-style writing.

About Simular

Simular is a leader in artificial intelligence and machine learning, dedicated to pioneering research and innovative solutions that address complex challenges. Join us to be part of a team that is shaping the future of AI.

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