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Data Engineer, Machine Learning

Sesame· Data & Analytics
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San Francisco, New York, BellevueFull-timePosted 4mo ago

About the role

Data Engineer to build and maintain data pipelines for Sesame's AI models, transforming raw multimodal data into clean, versioned datasets and supporting the full model development lifecycle.

Responsibilities

  • Design and build production data pipelines that prepare conversational, voice, and multimodal data for model training and evaluation.
  • Partner directly with ML engineers to understand data requirements for new models and experiments, and deliver datasets that meet those needs.
  • Build and maintain infrastructure for dataset versioning, lineage tracking, and reproducibility — so any training run can be traced back to its exact data.
  • Develop data quality frameworks that catch issues before they become model quality issues: schema validation, drift detection, and coverage monitoring.
  • Optimise large-scale data processing for cost and performance across Sesame's cloud infrastructure.
  • Build tooling that makes it easy for ML engineers and researchers to discover, explore, and request data independently.
  • Define and enforce data governance and privacy standards, particularly around sensitive conversational and voice data.
  • Contribute to architecture decisions around Sesame's broader data platform as the team and data volume grow.

Qualifications

  • 5+ years in data engineering, with meaningful experience supporting ML or AI teams specifically.
  • Strong SQL and Python skills — you'll use both daily.
  • Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling.
  • Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect.
  • Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data.
  • A solid understanding of how ML teams work — you don't need to train models; what matters is understanding what makes a good training dataset and why data quality directly affects model performance.
  • Comfort working with unstructured and semi-structured data — audio, text, JSON logs — not just clean relational tables.
  • Strong communication skills. You'll be embedded with ML engineers and need to bridge data systems and model requirements effectively.

Skills

Required:SQLPythonETL/ELT pipelinesWorkflow orchestration

Benefits

  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Sesame

Bringing the computer to life

We believe in a future where computers are lifelike. Where they can see, hear, and collaborate with us – as we do with each other. With this vision, we're designing a new kind of computer.

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