Tech Stack
Distributed SystemsJavaPythonScalaSpark
About the role
- Meshy is a Silicon Valley 3D generative AI company on a mission to Unleash 3D Creativity; enables fast, affordable 3D asset generation.
- 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.
Requirements
- 3–5 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. (Nice to have)
- Familiarity with graph-based or deep learning approaches for recommendation. (Nice to have)
- Ability to leverage AI coding tools to boost productivity. (Nice to have)
- Experience with large-scale distributed systems and real-time serving. (Nice to have)