You push on the hard problems sitting between what models can do today and what customer operations actually need. More science than service: you set the agenda, run the experiments, publish where it makes sense, and hand frontier techniques to the engineers who ship them in six weeks.
What you own. A research agenda across the problems we keep hitting at the edge - agent reliability, long-horizon planning, retrieval over messy operational data, domain-specific evals. Rigorous experiments. Prototypes that cross the gap into production. A tight loop with the Technology Partners and Platform team - what we learn in a construction office is your best dataset.
What you bring. Deep ML background; PhD or equivalent industry research. Track record on applied problems, not just benchmarks - you've shipped research into something a real user touches. Strong engineering fundamentals; you don't throw work over a wall.
Skills Required
- Deep machine learning background
- PhD or equivalent industry research experience
- Proven track record of shipping research into production or user-facing products
- Strong engineering fundamentals and ability to prototype and deliver
- Experience designing rigorous experiments and domain-specific evaluations
What We Do
Ciridae is an AI transformation firm that develops AI-native operating systems for mid-market and private equity-backed businesses in the real economy, including industrial and construction sectors. The company replaces legacy ERPs and manual processes with custom, intelligent software that automates core workflows, helping enterprises incorporate machine learning into their operations to drive efficiency and measurable business outcomes.
