Data Science Intern

Data Science Intern ABOUT MESHY Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. ROLE OVERVIEW We are looking for a high-caliber Data Science Intern to join our U.S. team. This is a hands-on, applied role where you will work directly on business-critical machine learning and analytics initiatives alongside senior data science leadership. You will contribute to high-impact projects such as recommendation systems, user segmentation, and churn analysis. This is not a research-only internship—you will solve real product and growth problems with measurable business outcomes, directly influencing product strategy and monetization decisions. - Duration: 3-6 months - Type: Full-time during summer and part-time during academic term KEY RESPONSIBILITIES - Support the development and validation of machine learning models, including recommendation systems, user segmentation, and churn prediction - Assist in building LTV and revenue forecasting models to support growth and monetization strategy - Design and analyze experiments to evaluate model effectiveness and business impact - Conduct exploratory data analysis across both structured (schema-ready) and raw datasets - Build dashboards and clear data narratives to communicate findings effectively - Collaborate with Product, Growth, and Engineering teams to translate insights into actionable strategies and measurable business impact QUALIFICATIONS REQUIRED - Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field - Solid foundation in statistics and core machine learning concepts - Strong proficiency in Python (e.g., Pandas, NumPy, Scikit-learn or similar libraries) - Proficiency in SQL and experience working with structured datasets - Strong analytical and problem-solving skills with the ability to work through ambiguous problems - Practical experience applying AI tools in data analysis workflows, or a strong demonstrated interest in leveraging AI for analytical problem-solving - Prior professional or internship experience in data science, analytics, or machine learning - Excellent communication skills and ability to clearly explain technical concepts to non-technical audiences PREFERRED - Experience with recommendation systems, NLP, forecasting, or predictive modeling - Interest in generative AI, 3D, or creator platforms - Fluent in both English and Mandarin, with the ability to communicate at a professional level in b ... (truncated, view full listing at source)