Sesame24.06.2026
Data Engineer, Machine Learning
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Полная занятостьОфис
Обязанности
- 01Design and build production data pipelines that prepare conversational, voice, and multimodal data for model training and evaluation.
- 02Partner directly with ML engineers to understand data requirements for new models and experiments, and deliver datasets that meet those needs.
- 03Build and maintain infrastructure for dataset versioning, lineage tracking, and reproducibility — so any training run can be traced back to its exact data.
- 04Develop data quality frameworks that catch issues before they become model quality issues: schema validation, drift detection, and coverage monitoring.
- 05Optimise large-scale data processing for cost and performance across Sesame's cloud infrastructure.
- 06Build tooling that makes it easy for ML engineers and researchers to discover, explore, and request data independently.
- 07Define and enforce data governance and privacy standards, particularly around sensitive conversational and voice data.
- 08Contribute to architecture decisions around Sesame's broader data platform as the team and data volume grow.
Требования
- 015+ years in data engineering, with meaningful experience supporting ML or AI teams specifically.
- 02Strong SQL and Python skills — you'll use both daily.
- 03Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling.
- 04Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect.
- 05Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data.
- 06A 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.
- 07Comfort working with unstructured and semi-structured data — audio, text, JSON logs — not just clean relational tables.
- 08Strong communication skills. You'll be embedded with ML engineers and need to bridge data systems and model requirements effectively.
Условия
- 01401 (k) max employer match: 3.5% of compensation
- 02100% employer-paid health, vision, and dental benefits for you and your dependents
- 03Unlimited PTO and sick time
- 04Flexible spending account with employer matching up to $1,650/year (medical FSA)
- 05Guardian Employee Assistance Program (EAP)
- 06Opportunity to share in the company's success with competitive stock options