Computer Vision Intern, English/Mandarin)
Philo Homes
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningPythonDeep learningPyTorchTensorFlowGit
- Nice to have
- Computer vision
- Work
- On-site in United States · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python74%Machine learning72%PyTorch37%Deep learning26%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 31, 2026 · still open
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Philo Homes
About the Role
Philo Homes is an AI-powered interior design and furniture platform that helps homeowners visualize, design, and furnish their spaces. We combine AI, computer vision, and 3D reconstruction technologies to transform the home design and furniture shopping experience.
Duration: 3 Months
Compensation: Unpaid Internship
Location: Remote
Eligibility: CPT / OPT candidates are welcome to apply. Fluent in both English and Mandarin.
What You'll Do
- Develop and improve computer vision models for room understanding and 3D reconstruction.
- Work on furniture detection, segmentation, and recognition from images and videos.
- Explore 2D-to-3D reconstruction and 3D object modeling workflows.
- Optimize AI models for accuracy, performance, and real-world applications.
- Collaborate with our AI and engineering team to integrate computer vision solutions into our product.
Requirements & Tech Stack
- Background in Computer Science, Computer Vision, AI, Machine Learning, or a related field.
- Familiarity with Python and deep learning frameworks such as PyTorch or TensorFlow.
- Knowledge of computer vision techniques, including object detection, image segmentation, or 3D vision.
- Experience with OpenCV, YOLO, NeRF, Gaussian Splatting, or 3D reconstruction is a plus.
- Strong problem-solving skills and willingness to work in a collaborative startup environment.
What You'll Gain
- Hands-on experience building real-world AI and computer vision applications.
- Opportunity to work on 3D reconstruction and AI-powered interior design.
- Direct collaboration with an interdisciplinary startup team.
- Practical experience contributing to a product preparing for market launch.
Interested? Send us your resume and GitHub or project portfolio.