# Data Engineer, Machine Learning at Sesame AI

- Company: Sesame AI
- What the company does: Sesame builds personal agents for curious people. Follow a thought. Work out an idea. Discover something new. Preview available now on iOS. Coming to intelligent eyewear in 2027. Backed by Sequoia and Redpoint.
- Company website: https://www.sesame.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $170K to $280K base salary per year (USD)
- Posted: 2026-06-23
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/sesame/08ade360-a4bc-4584-9c40-04dc380276a5
- Page: https://www.1752.vc/careers/jobs/sesame-ai-data-engineer-machine-learning/

## About the role

We're looking for a Data Engineer to build and maintain the data pipelines that feed Sesame's AI models. You'll collaborate directly with machine learning engineers and researchers — your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship models.

## What they're looking for

- 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

Tags: Data & Analytics