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Senior AI Data Infrastructure Engineer

MeshyShanghaiEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
25 Aug 2026
Status
Open · checked 7d ago

About this role

Meshy is seeking a Senior AI Data Infrastructure Engineer to join the team in Shanghai, with remote work flexibility available. This role is ideal for an experienced professional looking to design and operate distributed data systems that power cutting-edge 3D generative artificial intelligence models.

Role Overview

Meshy is building the next generation of 3D generative AI models, relying on constantly evolving data infrastructure to ingest massive raw data and process large-scale distributed workloads. As a Senior Data Infrastructure Engineer, you will own end-to-end data pipelines from ingestion to transformation and training readiness. You will work alongside machine learning research teams to prepare various datasets, handling unstructured assets such as images, 3D models, and videos rather than focusing on traditional business intelligence or reporting tasks.

Key Responsibilities

Design and maintain highly scalable ETL and ELT pipelines for ingesting and processing structured and massive unstructured data like images, videos, and 3D assets.
Optimize data processing using frameworks such as Spark, Ray, or Flink on cloud object storage and data lakes, including data sharding, caching, and robust monitoring.
Handle preprocessing tasks including format conversion, data enhancement, and feature extraction, while verifying quality and ensuring dataset lineage and reproducibility.
Manage environments using Infrastructure as Code tools like Terraform and Kubernetes, promoting continuous integration and deployment best practices.
Collaborate across global teams to rapidly respond to research and development needs within a hands-on startup environment.

Requirements

Minimum of 5 years of professional experience in data engineering or distributed system development.
Basic English communication skills sufficient to conduct all-English meetings and handle written communication.
Proven ability to design and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Experience optimizing distributed data processing using frameworks such as Spark, Ray, or Flink.
Practical background in preprocessing AI and machine learning data, ensuring quality verification and reproducibility.
Expertise in managing infrastructure using tools like Terraform and Kubernetes alongside CI/CD practices.

Nice to Have

Familiarity with the end-to-end training workflow for large models or machine learning including pre-training, fine-tuning, and reinforcement learning.
Experience in 2D or 3D asset processing like geometric transformations or texture processing, or familiarity with rendering engines such as Blender, Unity, or Unreal.
Practical experience orchestrating Kubernetes distributed workloads or managing GPU and HPC clusters.
Extensive background using large-scale data warehouse or lakehouse platforms including Databricks, Snowflake, or BigQuery.
High-quality open-source contributions in machine learning infrastructure or distributed systems, alongside familiarity with data security and compliance.

Skills and Tools

Kubernetes
Spark
Snowflake
Terraform
Ray
Flink
Cloud Object Storage and Data Lakes

Salary and Benefits

Competitive salary paired with stock options for core team members.
Comprehensive health, dental, and vision insurance alongside a 401(k) plan.
Unlimited, flexible time off and a flexible work environment supporting remote and on-site options.
Access to the latest and best office equipment.

About the Company

Headquartered in Silicon Valley with a globally distributed talent pool across North America, Asia, and Oceania, Meshy is a leading 3D generative AI company. The organization is backed by prominent venture capital firms including Sequoia and GGV, and has raised $52 million in funding. Meshy serves millions of users worldwide and transforms the 3D content creation pipeline by turning text and images into stunning models in minutes.

How to Apply

Interested candidates should visit the official Meshy careers page to submit an application and learn more about open opportunities.

Skills and tech stack

KubernetesSparkSnowflakeTerraform

Questions candidates ask

What is the primary focus of the Senior AI Data Infrastructure Engineer?

The main focus is building and optimizing processing pipelines for large-scale unstructured data, computing efficiency, and training data quality, rather than report and metric modeling.

Where is this position located?

This role is based in Shanghai with remote work options available.

How many years of experience are required for this role?

Candidates must have 5 or more years of experience in data engineering or distributed system development.

What language skills are necessary for this position?

Basic English communication skills are required, including the ability to conduct all-English meetings and handle written communication.

What tools and technologies will I be using?

The role utilizes tools and frameworks such as Kubernetes, Spark, Snowflake, Terraform, Ray, Flink, and cloud data lakes.

Ready to apply?

The application is on the official Meshy careers page.

Apply on company site