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MeshyAI

Data Science Intern

Sorry, this job was removed at 10:15 p.m. (PST) on Friday, Apr 17, 2026
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Hybrid
Sunnyvale, CA, USA
Hybrid
Sunnyvale, CA, USA

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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 both written and verbal forms.

Our Values
  • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.

  • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.

  • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.

  • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

Why Join Meshy?
  • Competitive salary, equity, and benefits package.

  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.

  • Flexible work environment, with options for remote and on-site work.

  • Opportunities for fast professional growth and development.

  • An inclusive culture that values creativity, innovation, and collaboration.

  • Unlimited, flexible time off.

Benefits
  • Comprehensive health, dental, and vision insurance.

  • The latest and best office equipment.

MeshyAI San Jose, California, USA Office

San Jose, California, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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