Software Engineer Intern (Machine Learning)_Bilingual Mandarin
Role summary
Philo Homes is seeking a bilingual (Mandarin/English) Software Engineer Intern specializing in Machine Learning for an unpaid, part-time, remote internship. The role involves building data pipelines and tooling, working with visual and spatial data (images, layouts, 3D data), developing and training machine learning models, and collaborating on ML system deployment. A background in Computer Science or Machine Learning and experience with frameworks like PyTorch are required. Experience in computer vision, reinforcement learning, or 3D data is a plus. This is an opportunity to work on real-world AI applications in a fast-paced startup environment.
Company Description
Philo Homes is an innovative early-stage startup transforming interior design and furniture shopping by utilizing cutting-edge AI technology. Our platform enables customers to create personalized interior designs and seamlessly purchase premium, designer-curated furniture and decor. With a focus on intelligent automation and high-quality product offerings, we streamline the design-to-purchase experience, making sophisticated interior styling accessible and user-friendly.
About the Role
This is a
*unpaid part-time remote*
internship position for a Software Engineer Intern specializing in Machine Learning.
We are building AI systems for
interior design and spatial understanding
and looking for a Machine Learning Engineer to help develop models, data pipelines, and tools to power our next-generation AI products.
What You’ll Do
- Build
data pipelines and tooling
for collecting and processing data
- Work with
visual and spatial data
(e.g., images, layouts, 3D data)
- Develop and train
machine learning models
- Collaborate on deploying and improving ML systems in production
What We’re Looking For
- Background in
Computer Science, Machine Learning, or related field
- Strong programming skills
- Experience with
machine learning frameworks
(e.g., PyTorch)
- Ability to work across modeling and system implementation
- Proficient in both Chinese and English
Nice to Have
- Experience with computer vision, reinforcement learning, or 3D data
- Experience building data or ML systems end-to-end
Why Join
- Early-stage team with high ownership
- Opportunity to work on
real-world AI applications
- Fast-moving, applied research + product environment