Machine Learning Engineer Intern_Bilingual Mandarin
Role summary
Philo Homes is seeking a bilingual (Mandarin/English) Machine Learning Engineer Intern to join their early-stage startup. This unpaid, part-time, remote role involves building AI systems for interior design and spatial understanding. Responsibilities include developing data pipelines, processing visual and spatial data, training ML models, and collaborating on ML system deployment. The ideal candidate has a background in Computer Science or Machine Learning, strong programming skills, and experience with frameworks like PyTorch. Experience in computer vision, reinforcement learning, or 3D data is a plus.
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