Data Engineer, Machine Learning
Sesame · San Francisco
- Posted
- 60 days ago
- Last confirmed live
- 1 day ago
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…
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