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 contemporary data stack.
You'll own a research question end-to-end:
scope it, run experiments, write it up. Robust work has a path to a public technical blog post, open-source release, or paper.
What we're looking for:
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 up-to-date data stack; open-source contributions; prior publications
📌 Research Intern Bengaluru
🏢 Important Company of the Sector
📍 Bengaluru
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