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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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