About TensorStax
TensorStax is building the next generation of autonomous agents for data engineering. Backed by a $5M seed round, we’re developing an LLM Compiler, agent framework, and reinforcement learning infrastructure purpose-built for structured data workflows. Our vision is to unify the modern data stack behind intelligent agents that can plan, debug, and optimize complex pipelines across dbt, Airflow, Spark, and beyond.
The Role
We’re looking for a Research Engineer Intern to help our team build simulation environments that mirror real-world data engineering workflows. These environments are core to our RL training stack — they allow us to safely and scalably train and evaluate agents across realistic DAGs, job failures, and data state transitions.
In this role, you’ll work with our research and systems teams to:
About You
Bonus: experience with dataset generation, simulation environments, or pipeline testing
Why Join
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