Machine Learning Engineer
remotemid
via Ashby
About this role
Comand AI's mission is to build next-generation C2 software with real users in real deployments in the field. On the ML side, the job is to build decision systems out of unstructured data, mostly documents, with models designed to actually be used in the field.
The scope is end-to-end and the ownership is high: you take a problem from data to a model someone actually uses. Today's work leans LLM and NLP first, with some vision, and spans agent architectures, fine-tuning, open-source models, and constrained deployment (latency, security, on-prem and offline).
What this looks like in practice:
- Build agents with real architecture questions: multi-agent setups, tool management, orchestration
- Solve runtime and scaling problems: background jobs, information flow between systems…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
python