Senior Data & Analytics Engineer

Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. 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 $1,000 now takes 2 minutes and $1.

Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV.

• No. 1 popularity, among 3D AI tools, according to A16Z games,
• No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),
• Leading 3D foundation model, delighted texture & fine geometry,
• $52M funding by Top VCs,
• 2.5M users & 20M models generated!

Ethan Yuanming Hu serves as the founder and CEO. Ethan got his Ph.D. in graphics and AI from MIT, where he developed the Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His Ph.D. thesis got a honorable mention of SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and his research has been cited over 2700 times. his favorite animal is the llama.

• Data Ingestion – Design, build, and maintain scalable ELT & CDC pipelines.
• Schema Building – Develop and optimize ELT processes to ensure data quality and reliability using Delta Live Tables in Databricks; enforce data documentation, lineage, tests, monitoring, alerts, access control and data governance.
• Metrics & Dashboards – Define key metrics and build visualizations in Tableau.
• Deep‑Dive Analysis – Analyze business data to uncover insights that drive key business decisions.

• 5+ years designing and maintaining data‑ingestion pipelines.
• 5+ years designing analytics schemas and building ELT on modern data stacks (dbt, etc.).
• 5+ years building data visualizations and analyses using Tableau, Looker, or similar tools.
• Expert in data‑querying languages (e.g., SQL) and scripting languages (e.g., Python, PySpark, Java, Scala).
• Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics.
• Demonstrated agility—quick to adapt, versatile across toolsets, and eager to learn.
• Proven ability to communicate ideas and analyses effectively to both technical and non‑technical audiences.
• BS or MS in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.

• Experience in the SaaS, 3D or AI industry.
• Experience in ML / data‑science roles, especially with LLMs or NLP.
• Prior work evaluating foundational models or working with graphics / 3‑D datasets.