Sesame
Data Engineer, Machine Learning
San Francisco$170k–$240kfulltimemidAdded 2 days ago
About this role
Sesame is seeking a Data Engineer to develop and maintain data pipelines that supply critical datasets for AI model training and evaluation. The role requires close collaboration with machine learning teams to ensure they receive high-quality data that meets their needs.
What you'll do
- Design and implement production data pipelines for multimodal data.
- Collaborate with ML engineers to understand and fulfill data requirements.
- Maintain infrastructure for dataset versioning and lineage tracking.
- Develop frameworks for data quality and issue detection.
- Optimize large-scale data processing across cloud infrastructure.
- Build tools for easy data discovery and access by ML teams.
What they're looking for
- 5+ years in data engineering experience with AI/ML focus
- Strong skills in SQL and Python
- Experience with ETL/ELT pipelines
- Familiarity with orchestration systems like Airflow
- Understanding of ML data workflows
- Ability to work with unstructured data
- Strong communication skills
- Knowledge of data governance standards
Benefits
- 401(k) with employer match
- Comprehensive health, vision, and dental coverage
- Unlimited PTO and sick days
- Workplace diversity and inclusion initiatives
- Supportive environment for individuals with disabilities
- [Unknown]
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