Company profile
Remote jobs at EdgeOrigin
EdgeOrigin is a New York-headquartered data company building a real-time data layer for markets and machines. It runs its own global edge network that collects events at the edge, evaluates them in flight with machine learning models for urgency, authenticity and data quality, and delivers records over post-quantum encrypted transport.
- Industry
- Data infrastructure / Real-time event data
- Funding
- Structure
No funding round, amount, or investor is disclosed on the official site (about, careers, blog, legal) and no approved secondary source reported a round for this company. Careers page mentions early-stage equity and a deliberately small teamView more
No funding round, amount, or investor is disclosed on the official site (about, careers, blog, legal) and no approved secondary source reported a round for this company. Careers page mentions early-stage equity and a deliberately small team
Jobs
Most common locations
- New York or Remote2
Most common roles
- AI Engineer1
- Data Engineer1
EdgeOrigin currently has 2 open remote roles on Hidden Jobs. 0 were added during the last 7 days. The most represented roles are AI Engineer (1), Data Engineer (1). Salary information is not disclosed on the current active listings. The most common eligibility is New York or Remote (2).
Experience levels represented: Not specified (1), Senior (1).
Hidden Jobs Access
Refine EdgeOrigin roles
Premium filters help you narrow this company’s openings by role, location, experience and disclosed salary.
Use role, location, experience, salary and sorting controls with Hidden Jobs Access.
Current openings
2 active roles detected; full descriptions are public and original application links require Hidden Jobs Access.
Senior Data Engineer
A senior engineer is needed to take full ownership of a global edge data pipeline that captures real-world events, normalizes and timestamps them at ingestion, and delivers evalua…
Machine Learning Engineer, Signal
This is a senior machine learning engineering role focused on the models that triage a high-volume global data stream in real time. The work centers on building and owning product…