Recommendation System Engineer Beijing or Shanghai

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.1in popularity among 3D AI tools (according to 2024 A16Z Games) and
No.1in website traffic (according to Similar Web, with3 Million
monthly visits). The platform boasts over5 Million users
and has generated40 Million m
odels
.

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 Git Hub, 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.

We are seeking a Machine Learning Engineer specializing in recommendation systems to design, implement, and optimize ranking algorithms that power personalized user experiences. In this role, you will analyze large-scale user behavior data, experiment with cutting‑edge ML techniques, and drive improvements in engagement and recommendation quality.

• Design, implement, and optimize recommendation and ranking algorithms.
• Analyze user behavior data to improve personalization and engagement.
• Evaluate and experiment with new ML methods to enhance recommendation quality.

• 3+ years of professional experience in machine learning or recommendation systems.
• Strong coding skills in one or more languages:
  Python, Java, or Scala.
• Solid understanding of machine learning fundamentals, especially in ranking, collaborative filtering, and personalization.
• Hands‑on experience with data processing frameworks (e.g., Spark, Flink) and ML libraries.
• Strong problem‑solving and communication skills.

• Experience in A/B testing and online experimentation.
• Familiarity with graph‑based or deep learning approaches for recommendation.
• Ability to leverage AI coding tools to boost productivity.
• Experience with large-scale distributed systems and real‑time serving.

• 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.