ML Data Engineer: Scalable Pipelines & Data Quality

Sesame; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) max employer match: 3.5% of compensation

100% employer-paid health, vision, and dental benefits

Unlimited PTO and sick time

Flexible spending account with employer matching

Employee Assistance Program (EAP)

Competitive stock options

Job summary

Sesame in San Francisco is seeking a Data Engineer to build and maintain data pipelines for AI models. Collaborating closely with machine learning engineers, you will ensure they have the right data in the right format.

This role is focused on designing systems to manage complex data types such as voice and sensor signals. It requires strong SQL and Python skills along with a deep understanding of ML workflows.

Sesame offers comprehensive benefits and is committed to a diverse workplace.

Qualifications

• 5+ years in data engineering, specifically supporting ML or AI teams.
• Strong SQL and Python skills.
• Comfort working with unstructured and semi-structured data.

Responsibilities

• Design and build production data pipelines for model training.
• Partner with ML engineers to meet data requirements.
• Build infrastructure for dataset versioning and reproducibility.

Skills

SQL

Python

Data Pipeline Engineering

Machine Learning Workflows

ETL/ELT Experience

Data Governance

Communication

Tools

Airflow

Dagster

Prefect

Ray

Spark

Kubernetes

Job description

Sesame in San Francisco is seeking a Data Engineer to build and maintain data pipelines for AI models. Collaborating closely with machine learning engineers, you will ensure they have the right data in the right format.

This role is focused on designing systems to manage complex data types such as voice and sensor signals. It requires strong SQL and Python skills along with a deep understanding of ML workflows.

Sesame offers comprehensive benefits and is committed to a diverse workplace.