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Baseten

Runs AI models for production software

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Responsibilities

  • Design and maintain core data models and semantic layers.
  • Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks.
  • Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools.
  • Define and maintain company-wide metrics across product usage, performance, and customer lifecycle.
  • Enable self-service analytics through agents and tools, with well-structured semantic layers and context.
  • Ensure data reliability and quality through testing, documentation, and governance.

Desired Qualifications

  • Understanding of inference metrics such as latency, throughput, token usage, and model performance.
  • Experience supporting B2B SaaS and/or consumption-based platforms.
  • Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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