Altimate AI
Technology
ResearchIntern
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Intern at Altimate AI. Skills: LLMs, Agentic data engineering, Modern data stack. Own a research question end-to-end. Scope research question”
What You'll Achieve.
Path to public technical blog post; Path to open-source release; Path to paper
Industry & Context.
Fuzzy problem to scoped experiment
What They're Looking For.
Must Have
Prior project involving LLMs, Comfortable reading recent papers
Nice to Have
Familiarity with dbt, Familiarity with SQL, Familiarity with modern data open-source, Prior publications
What You'll Do.
Own a research question end-to-end
Scope research question
Full Job Description
About Us 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. 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 modern data stack; open-source contributions; prior publications
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