Come build AI that holds up outside the lab.
At Arché, rigorous research and working software live in the same repository. You'll own experiments end to end, prove what genuinely holds, and care as much about a faithful explanation as a headline number.
Research Assistant — Graph Neural Networks
Apply by July 25, 2026
We're hiring a Research Assistant for hands-on GNN research.
Join a student-led project on graph neural networks and deep learning. You'll work on real experiments — not just literature surveys — alongside researchers who care about code that runs and results that hold up.
- Strong Python and PyTorch — you can turn a paper into a working experiment.
- Familiarity with GNN architectures (GCN, GAT, GraphSAGE, and kin).
- PyTorch Geometric or DGL experience is a plus.
- Solid research instincts: reading closely, writing clearly, iterating carefully.
- Shortlisted candidates complete a GNN coding assessment.
- Top performers are invited to a technical interview.
Send your CV, a brief statement of interest, and GitHub or project links (if available) to archeintelligencelab@gmail.com.
Roles open right now.
Research AssistantDeep Learning & Medical Imaging
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Apply for this roleResearch TraineeApplied ML & Software Engineering
An entry point for current undergraduates. Pair with our operations and engineering leads to build internal tools, wrangle messy datasets, and write the clean, scalable code our lab infrastructure runs on.
Apply for this roleVisiting ResearcherCross-institutional Collaboration
For academics, industry practitioners, or PhD candidates who want to co-author papers with us, bring depth in a specialized AI domain, and tap into our compute and collaboration network.
Pitch a collaborationHow we hire.
We keep things fast but unhurried — enough room for a real conversation, with honest timelines and specific feedback at every stage, whatever the outcome.
Got questions? Ask us- 1
Say hello
Send over your portfolio, GitHub, or a recent paper, plus a couple of lines on what you'd want to work on.
- 2
Talk shop
We dig into something you've built, sketch an experiment together, and figure out how you like to work.
- 3
Show your work
Take us through a project, demo, or write-up — and the calls and tradeoffs that went into it.
- 4
Get set up
We sort out your compute access, pick a first project together, and introduce you to the rest of the team.
Nothing fits, but you're still curious?
We still like meeting sharp researchers and engineers between postings. Tell us what you'd build with us — that says more than a résumé ever could.