Sure
United States
IT Systems Engineer (Remote)
- AI
- Artificial Intelligence
- AWS
- Cloud
AI Summary
Research Scientist role focused on designing and implementing large-scale Internet measurement methods for IP geolocation, VPN detection, and network topology. Requires a PhD in Computer Science with expertise in Internet measurement, hands-on experience with Internet-scale data collection, and strong Python/Go and SQL skills. Must drive research from concept to production in a fully remote, autonomous environment.
Key Highlights
Design and implement Internet-scale measurement methods for IP geolocation, VPN detection, and network topology.
Validate findings rigorously against ground truth and integrate results into production systems.
Collaborate on academic publications and co-supervise PhD interns in a fully remote environment.
Key Responsibilities
Design and execute Internet-scale measurement campaigns (e.g., traceroute, BGP, DNS) to solve open research problems.
Validate measurement results against ground truth and quantify uncertainty in findings.
Integrate validated methods into BigQuery/Airflow pipelines for production use.
Collaborate with academic researchers on paper submissions to top venues (e.g., ACM IMC, SIGCOMM).
Co-supervise PhD summer research interns and present work externally (e.g., IMC, TMA, RIPE).
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Technical Skills Required
Benefits & Perks
Research that directly impacts production products used by millions.
Access to ProbeNet and the company’s full measurement archive.
100% remote work with flexible hours and competitive salary.
Flexible vacation policy
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Nice to Have
Prior experience with IP geolocation, VPN/proxy detection, or anycast technologies.
Contributions to open-source datasets or tools used by the research community.
Service on program committees for relevant conferences (e.g., IMC, PAM, TMA).
Job Description
Our measurement platform, ProbeNet, collects over 50TB of ping, traceroute, BGP, and DNS data weekly from 1,300+ servers globally. This role involves designing novel measurement techniques, validating them against ground truth, and integrating results into products used by billions of API requests daily.
Key research problems include:
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