Applied Science Intern (AI Robotics)

TL;DR

Applied Science Internship (AI & Robotics): Contributing to the development of cutting-edge robotics by leveraging large language models (LLMs) and generative AI with an accent on robotic perception, manipulation, and control. Focus on solving complex business problems and advancing the state-of-the-art in AI and robotics through novel algorithms and modeling techniques.

Location: Positions available in San Francisco, CA and Seattle, WA. Must be able to relocate to where the internship is based.

Salary: USA, CA, San Francisco - 171,600.00 - 222,200.00 USD annually; USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Company

hirify.global is at the forefront of applied science, using advancements in large language models (LLMs) and generative AI to reshape the world of robotics.

What you will do

• Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics.
• Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control.
• Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning.
• Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders.

Requirements

• Are enrolled in a PhD program.
• Must be available for a full-time (40 hours per week) 12-week internship between May 2026 and September 2026.
• Experience programming in Java, C++, Python or related language.
• Strong background in machine learning, deep learning, and/or robotics.
• Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR.
• Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models.

Nice to have

• Have publications at top-tier peer-reviewed conferences or journals.
• Experience in designing experiments and statistical analysis of results.

Culture & Benefits

• Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching.