Senior Security AI/ML Scientist

RADICL Defense

Boulder (CO)

Hybrid

USD 160,000 - 235,000

Full time

10 hours ago
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Benefits offered by this job

Hybrid work model
Benefits package

Job summary

RADICL Defense in Boulder, CO is seeking a Senior/Principal Data Scientist to lead security AI and ML initiatives within our CSaaS platform. The role combines research, production ML, and platform work in a hybrid office setting.

You will design, evaluate, and deploy agents, improve triage and detection, and ensure models meet CMMC-like security standards while collaborating with an experienced founding team. Hybrid schedule with in-office M/W/Th and remote others.

Qualifications

  • 6+ years in data science or applied ML (Senior), or 8+ (Principal), with models you shipped and maintained in production.
  • Strong Python and SQL, and large-scale data processing on a major cloud platform.
  • Experience evaluating and improving LLM or agent systems in production.
  • Hands-on experience adapting or training models for a specialized domain.
  • Anomaly detection or classification with rare events and noisy labels.
  • Solid statistics and experimental design, and the judgment to ship a simple baseline when it's good enough.
  • Comfort in an engineering team: reading production code, writing tests, and writing clear RFCs.
  • Principal: you've owned ML problems end to end and can defend architecture decisions for the ML stack.

Responsibilities

  • Evaluate our agents. Define how we know our AI is right, measure it against analyst verdicts, and gate every change on the results.
  • Make our AI better. Improve the quality, speed, and cost of our triage, investigation, and search agents.
  • Adapt models to security. Decide when to customize or train models on our analyst-labeled data, and do it.
  • Detect behavior, not signatures. Build models that catch threats rules miss across endpoint, identity, email, cloud and SaaS audit, network, and vulnerability data.
  • Protect our own AI. Keep attacker-controlled data from manipulating our agents.
  • Prove it in production. Show whether AI is helping, using measures like time to triage, analyst override rate, and false-positive load.
  • Run it like software. Own versioning, monitoring, and strict per-customer data isolation, with outputs traceable enough for CMMC audits.

Skills

Data science
Python
SQL
LLM evaluation
Production ML

Job description

RADICL Defense in Boulder, CO is seeking a Senior/Principal Data Scientist to lead security AI and ML initiatives within our CSaaS platform. The role combines research, production ML, and platform work in a hybrid office setting.

You will design, evaluate, and deploy agents, improve triage and detection, and ensure models meet CMMC-like security standards while collaborating with an experienced founding team. Hybrid schedule with in-office M/W/Th and remote others.

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