Live opening · Posted 7 days ago

Machine Learning Engineer Intern_Mandarin Required

Philo Homes · New York, United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyPhilo Homes
LocationNew York, United States (Remote)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

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
Proficient in both Chinese and English (Required)
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
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

Work arrangement
No

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