Data Infrastructure Engineer @ Meshy
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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. With global experts from top institutes and companies, Meshy empowers both professional artists and hobbyists to create unique 3D assets in minutes.
Recognized for its No.1 popularity among 3D AI tools, Meshy boasts impressive metrics including 2M monthly website visits, $52M funding, and millions of users worldwide.
About the Role: Data Infrastructure Engineer
As a Data Infrastructure Engineer at Meshy, you will design, build, and operate distributed data systems for large-scale ingestion, processing, and transformation of structured and unstructured datasets used in AI model training. You will own end-to-end pipelines, ensure data quality and scalability, and work closely with ML researchers in a fast-paced startup environment.
What You’ll Do
- Core Data Pipelines: Design, implement and maintain distributed ingestion pipelines and scalable ETL/ELT workflows.
- Pretrain Data Processing: Support preprocessing of images, 3D/2D models, and videos with validation and augmentation.
- Distributed Systems & Storage: Architect solutions using cloud storage (S3, GCS, Azure Blob), and optimize with frameworks like Spark or Dask.
- Infrastructure & DevOps: Employ infrastructure-as-code (Terraform, Kubernetes) and CI/CD for reliable data workflows.
- Data Governance & Collaboration: Maintain data lineage and work cross-functionally to meet evolving ML pipeline needs.
What We’re Looking For
- 5+ years in data engineering or distributed systems.
- Strong programming in Python; SQL expertise is essential.
- Experience with distributed frameworks (Spark, Dask, Ray, or Flink).
- Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems.
- Exposure to workflow orchestration tools (Airflow, Prefect, Dagster).
- Preferred: Experience with unstructured datasets and computer graphics.
Our Values & Benefits
Meshy values intelligence, passion, bold risk-taking, and keen aesthetic quality in its work. Enjoy a competitive salary, equity, comprehensive benefits, flexible work options, and opportunities for rapid professional growth.
Key skills/competency
- Data Pipelines
- Distributed Systems
- ETL/ELT
- Python
- SQL
- Cloud Platforms
- DevOps
- Workflow Orchestration
- Data Governance
- Collaboration
How to Get Hired at Meshy
🎯 Tips for Getting Hired
- Research Meshy's culture: Study their mission, values, and recent news.
- Customize your resume: Highlight distributed systems and ETL experience.
- Showcase technical skills: Emphasize Python, SQL, and cloud knowledge.
- Prepare case studies: Detail projects on data pipelines and infrastructure.