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3 дня назад

Senior Data Infrastructure Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
US/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Infrastructure Engineer (AI): Building scalable pipelines for structured data and massive unstructured assets such as images, videos, and 3D models to support large-scale AI model training with an accent on distributed processing, dataset quality, and training readiness. Focus on optimizing Spark/Ray/Flink workloads, managing cloud data lakes and Kubernetes infrastructure, and ensuring reproducible preprocessing pipelines.

Location: Shanghai, China; hybrid

Company

hirify.global is a Silicon Valley-headquartered 3D generative AI company developing tools that transform text and images into 3D models.

What you will do

  • Design and maintain scalable ETL/ELT pipelines for structured data and large volumes of images, videos, and 2D/3D assets.
  • Optimize distributed data processing with Spark, Ray, and Flink on cloud object storage and data lakes.
  • Implement data sharding, caching, monitoring, and alerting to improve processing and storage efficiency.
  • Prepare, transform, and verify datasets for AI model pre-training and fine-tuning, including format conversion, enhancement, and feature extraction.
  • Ensure dataset lineage and reproducibility while collaborating with ML research and engineering teams worldwide.
  • Manage infrastructure with Terraform and Kubernetes and promote CI/CD practices.

Requirements

  • 5+ years of experience in data engineering or distributed systems development.
  • Experience building pipelines for large-scale structured and unstructured data.
  • Knowledge of the machine learning training workflow, including pre-training, fine-tuning, or reinforcement learning.
  • Practical experience with Kubernetes distributed workload orchestration or GPU/HPC clusters.
  • Experience with Terraform, cloud object storage, data lakes, and distributed processing frameworks.
  • Basic English communication skills sufficient for all-English meetings and written communication.

Nice to have

  • Experience processing 2D/3D assets, including geometric and texture transformations.
  • Familiarity with Blender, Unity, or Unreal Engine for compositing data generation.
  • Experience with Databricks, Snowflake, BigQuery, or similar data warehouse and lakehouse platforms.
  • Open-source contributions to ML infrastructure or distributed systems.
  • Knowledge of data security and compliance.

Culture & Benefits

  • Flexible work environment with remote and on-site options within the hybrid role structure.
  • Competitive salary, equity, stock options for core team members, and benefits.
  • 401(k) plan and comprehensive health, dental, and vision insurance.
  • Unlimited, flexible time off and opportunities for professional growth.
  • Inclusive culture focused on creativity, innovation, quality, and collaboration.
  • Modern office equipment and work with 3D generative AI technology.

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