Research Intern

Altimate AI is pioneering agentic data engineering - instead of engineers manually writing queries and managing pipelines, we're building AI agents that do this work autonomously. Think of it as AI teammates for data teams.

We're #1 on the industry benchmark in this space. Our open-source developer tools have 1M+ downloads (including the dbt Power User extension with 200k+ downloads alone), and we're trusted by Fortune 500 companies.

Our agents write SQL, optimise warehouses, and enforce data quality across dbt, Snowflake, Databricks, and BigQuery - and we're just getting started.

We're hiring a research intern to work directly with the founding team on hard problems at the intersection of LLMs, agents, and the modern data stack.

You'll own a research question end-to-end: scope it, run experiments, write it up. Strong work has a path to a public technical blog post, open-source release, or paper.

• Hands-on with PyTorch and the Hugging Face ecosystem

• At least one prior project involving LLMs - fine-tuning, evals, agents, or RAG

• Comfortable reading recent papers (NeurIPS / ICML / ACL / EMNLP) and implementing ideas from them

• Can take a fuzzy problem and return a well-scoped experiment

• Bonus: familiarity with dbt, SQL, or the modern data stack; open-source contributions; prior publications