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AI Influence Operation Detection Developer

Ryan Kovacs

Full-time · Job · New_York

About the role

Coordinated inauthentic behavior — networks of fake accounts amplifying narratives, astroturfing campaigns, state-sponsored disinformation — is measurable if you know what to look for. Posting pattern analysis, network graph anomalies, linguistic fingerprinting, and narrative coordination signals each tell part of the story. Combined, they make influence operations detectable before they achieve their objectives. We build detection infrastructure for government clients, election integrity organizations, and large social platforms. The ML challenge is adversarial: operators learn from public detection research and adapt. Models that worked 18 months ago are partially evaded today. Staying ahead requires continuously evolving the detection approach. You'll own the ML detection pipeline: developing new features from behavioral and linguistic signals, training classifiers on labeled datasets from documented influence operations, and building the adversarial robustness testing that evaluates whether new evasion techniques defeat current detectors before they are deployed in the wild.

Responsibilities

  • Develop behavioral and linguistic features for coordinated inauthentic behavior detection
  • Train and evaluate influence operation classifiers on labeled historical datasets
  • Build adversarial robustness testing using known evasion techniques
  • Design detection systems that degrade gracefully as adversaries adapt
  • Collaborate with government and platform clients on operational deployment requirements
  • Contribute threat intelligence research on emerging influence operation techniques

Requirements

  • 5+ years in ML engineering with adversarial ML, disinformation, or social network analysis
  • Experience with graph-based features and network anomaly detection
  • Strong Python and NLP skills for linguistic fingerprinting
  • Understanding of adversarial robustness and concept drift in adversarial settings
  • Security clearance eligibility preferred

Benefits

  • Fully remote
  • Top-of-market compensation
  • Health, dental, and vision
  • Annual training and conference budget
  • Equity package

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Categories

AI & Machine Learning Engineers NLP & Prompt Engineering

Skills

python pytorch hugging face sql statistics

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

AI & Machine Learning Engineers NLP & Prompt Engineering

Skills

python pytorch hugging face sql statistics docker

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