Data Engineer, Machine Learning

Sesame · San Francisco

Posted
61 days ago
Last confirmed live
Today

What this role involves

Sesame seeks a Data Engineer to build data pipelines for AI model training, handling multimodal data like voice and conversations. The role collaborates with ML engineers, focusing on dataset versioning, quality, and infrastructure for versioning and governance.

Skills this posting asks for

  • sql
  • python
  • etl
  • elt
  • airflow
  • dagster
  • prefect
  • data pipeline
  • dataset versioning
  • data labeling
  • model evaluation
  • unstructured data
  • semistructured data
  • audio data
  • json
  • vector databases
  • embedding storage
  • feature stores
  • telemetry
  • sensors
  • real-time streams
  • ray
  • spark
  • kubernetes

Requirements

  • 5 years of experience
  • Level: senior

From the employer’s posting

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings toge…

Read the full description on Sesame’s careers page

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