Intern: Foundation Models for Pose Estimation Researcher

Role

Intrinsic is seeking a highly motivated and talented PhD intern to contribute to cutting-edge research in foundation models for pose estimation with potential for publication. This internship offers the opportunity to work on challenging problems at the intersection of computational imaging (depth, polarization, multi-view), computer vision, robotics, and large-scale model training. You will be part of a dynamic team pushing the boundaries of pose estimation technology in the field of industrial robotics.

How your work moves the mission forward

As a PhD Intern specializing in Foundation Models for Pose Estimation, you will:

• Research and develop novel architectures, training methodologies and datasets for foundation models aimed at improving pose estimation accuracy, robustness, and generalization.
• Design and conduct experiments to assess the performance of developed models on relevant datasets.
• Collaborate with senior researchers and engineers to integrate research findings into practical applications.
• Publish research findings in top-tier conferences and journals (optional, but encouraged).
• Develop models that will be deployed in customer factories
• Located in Mountain View or Munich

Skills you will need to be successful

• Strong background in computer vision or machine learning.
• Solid understanding of deep learning techniques and experience with deep learning frameworks (e.g., Jax, PyTorch).
• Proficiency in programming (e.g., Python).
• Publications in top-tier vision / machine learning conferences

Skills that will differentiate your candidacy

• Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Prior experience with pose estimation datasets and evaluation metrics.
• Experience with training and evaluating large-scale models.
• Familiarity with foundation models (e.g., vision transformers, diffusion models) is highly desirable.

The hourly rate for this position is $70.19 + benefits. Rates are determined by role, level, location, and education. Your recruiter will share more about the specific hourly rate for this role during the hiring process.