Data engineer , Machine Learning

Sesame
San Francisco
Workplace: OnsiteFull timeUSD 170,000 - 240,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Problem-solving"]

Data Engineer to design and maintain production data pipelines for multimodal data, collaborating with ML researchers to deliver high-quality datasets for training and evaluation, while building infrastructure for versioning, data quality, and governance to accelerate the ML lifecycle.

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FursaFursa
Sesame
Sesame
4 months ago

Data engineer , Machine Learning

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Data Engineer to design and maintain production data pipelines for multimodal data, collaborating with ML researchers to deliver high-quality datasets for training and evaluation, while building infrastructure for versioning, data quality, and governance to accelerate the ML lifecycle.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 170,000 - 240,000 annually
Perks:401kHealth InsuranceVisionDentalPaid LeaveEquityFsaEap

Key Requirements

  • •5+ years in data engineering with ML/AI experience
  • •Strong SQL and Python skills used daily
  • •Experience building and operating ETL/ELT pipelines at scale
  • •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
Experience:5+ yearsMLData engineeringAI
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:PythonSQLAirflowDagsterPrefectSparkKubernetesVector databasesFeature stores

Company Brief

Sesame
Operates an online marketplace connecting patients with affordable direct-pay healthcare services, offering telemedicine and in-person appointments with doctors, dentists, therapists, and specialists without insurance, focusing on transparent pricing and accessible care.
Industry: HealthTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: New York, United States
Founded: 2016
Website