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SpellbrushSpellbrushSan Francisco, CA

Software Engineer

Builds scalable data pipelines and infrastructure for AI research, processing petabyte-scale anime data across 10k GPUs. Partners with researchers using distributed systems, big data tools, cloud services, requires 3+ years generalist experience.

Salary not listed
On-site3+ YOEData Engineering

About the role

Responsibilities

  • Define processes and infrastructure to transform and make data (embeddings, video, bounding boxes) readily available across the company.
  • Partner with AI researchers to understand needs, design, build, and monitor scalable pipelines.

Requirements

  • 3+ years as software engineer with generalist skillset.
  • Experience with distributed systems and big data tools (Ray, Spark, Airflow).
  • Hands-on experience shipping scalable data solutions in cloud (AWS, GCP, Azure) across data stores (Snowflake, Redshift, Hive, SQL/NoSQL).
  • Comfortable pulling data from various sources (complex SQL on BigQuery, transferring PB-scale data across S3 regions).
  • Highly comfortable scripting in TypeScript, Python, or Bash.
  • Know when to use complex tools vs. simple solutions.

Nice-to-Haves

  • Experience designing/building highly scalable/reliable data pipelines, especially for AI.
  • Interest in interfacing with AI researchers and ingesting model embeddings.
  • Comfortable working on small, fast-paced teams.

Skills

PythonTypeScriptRaySparkAirflowAWSGCPAzureSnowflakeRedshiftBigQueryS3SQLDistributed Systems
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