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.
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
More about this role
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
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.
Sesame's data is rich and complex: conversations, voice, sensor signals, and product telemetry. You'll design the systems that take raw, unstructured, multimodal data and turn it into clean, versioned, well-documented datasets that ML teams can trust and build on confidently.
This is a deeply technical, infrastructure-focused role — closer to ML engineering than traditional data analytics....
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