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Senior+ Research Infrastructure Engineer

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Meshy LLC

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Location:
United States , Sunnyvale

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a Senior+ Research Infrastructure Engineer to join our growing team. In this role, you will design, build, and operate distributed data systems that power large-scale ingestion, processing, and transformation of datasets used for AI model training. These datasets span traditional structured data as well as unstructured assets such as images and 3D models, which often require specialized preprocessing for pretraining and fine-tuning workflows. This is a versatile role: you’ll own end-to-end pipelines (from ingestion to transformation), ensure data quality and scalability, and collaborate closely with ML researchers to prepare diverse datasets for cutting-edge model training. You’ll thrive in our fast-paced startup environment, where problem-solving, adaptability, and wearing multiple hats are the norm.

Job Responsibility:

  • Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs
  • Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents)
  • Implement partitioning, sharding, caching strategies, and observability (monitoring, logging, alerting) for reliable pipelines
  • Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries)
  • Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics
  • Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction
  • Implement validation and quality checks to ensure datasets meet ML training requirements
  • Collaborate with ML researchers to quickly adapt pipelines to evolving pretraining and evaluation needs
  • Use infrastructure-as-code (Terraform, Kubernetes, etc.) to manage scalable and reproducible environments
  • Integrate CI/CD best practices for data workflows
  • Maintain data lineage, reproducibility, and governance for datasets used in AI/ML pipelines
  • Work cross-functionally with ML researchers, graphics/vision engineers, and platform teams
  • Embrace versatility: switch between infrastructure-level challenges and asset/data-level problem solving
  • Contribute to a culture of fast iteration, pragmatic trade-offs, and collaborative ownership

Requirements:

  • 5+ years of experience in data engineering, distributed systems, or similar
  • Strong programming skills in Python (plus Scala/Java/C++ a plus)
  • Solid skills in SQL for analytics, transformations, and warehouse/lakehouse integration
  • Proficiency with distributed frameworks (Spark, Dask, Ray, Flink)
  • Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems (S3, Parquet, Delta Lake, etc.)
  • Experience with workflow orchestration tools (Airflow, Prefect, Dagster)
  • Comfortable in a startup environment: versatile, self-directed, pragmatic, and adaptive
  • Strong problem solver who enjoys tackling ambiguous challenges
  • Commitment to building robust, maintainable, and observable systems

Nice to have:

  • Kubernetes for distributed workloads and orchestration
  • Data warehouses or lakehouse platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Familiarty GPU-accelerated computing and HPC clusters
  • Experience with 3D/2D asset processing (geometry transformations, rendering pipelines, texture handling)
  • Rendering engines (Blender, Unity, Unreal) for synthetic data generation
  • Open-source contributions in ML infrastructure, distributed systems, or data platforms
  • Familiarity with secure data handling and compliance
  • Located in or near one of our employee hubs — Bay Area, CA
  • Seattle, WA
  • Experience handling large-scale unstructured datasets (images, video, binaries, or 3D/2D assets)
  • Familiarity with AI/ML training data pipelines, including dataset versioning, augmentation, and sharding
  • Exposure to computer graphics or 3D/2D data processing is strongly preferred
What we offer:
  • Competitive salary, equity, and benefits package
  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology
  • Flexible work environment, with options for remote and on-site work
  • Opportunities for fast professional growth and development
  • An inclusive culture that values creativity, innovation, and collaboration
  • Unlimited, flexible time off
  • Stock options available for core team members
  • Comprehensive health, dental, and vision insurance

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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