DEFCON AI

DEFCON AI

DEFCON AI specializes in providing advanced modeling, simulation, and analysis solutions that enhance logistics and mobility decision-making, particularly in response to disruptions caused by natural disasters, unexpected events, and adversarial actions.

Internet Software & Services
11-50
Founded 2022

Description

  • Design and maintain the entity, record, and relationship data model.
  • Implement probabilistic record matching, deduplication, and known-record suppression.
  • Establish provenance so nodes, edges, and outputs trace back to source records.
  • Develop relevance and priority scoring models for large, imperfect datasets.
  • Own calibration, thresholding, and abstention policies for uncertain or high-risk cases.
  • Implement embeddings, vector storage, retrieval, and grounded generation workflows.
  • Integrate language models through approved managed services and maintain self-hosted alternatives.
  • Build secure ingestion, transformation, validation, publishing, and audit logging pipelines.
  • Detect source drift and generate representative synthetic data for development.
  • Document assumptions, transformation logic, limitations, and technical designs for review.

Requirements

  • 5+ years of experience in data engineering, data architecture, applied machine learning, ML engineering, or production analytics engineering.
  • Strong Python and SQL skills with experience working on large, imperfect operational data.
  • Experience delivering systems for sustained operational use, not just exploratory analysis.
  • Routine use of AI-assisted development with sound judgment about when to verify outputs.
  • Ability to explain technical decisions to non-technical stakeholders who must defend them.
  • US citizenship required.
  • Active US Secret clearance required; favorable investigation and CAC eligibility needed from the start.
  • Willingness to travel up to 25% to customer sites, DEFCON AI HQ, and vendor facilities.
  • Preferred: active Top Secret clearance.
  • Preferred: experience with probabilistic matching, record linkage, master data management, identity management, and graph data modeling.
  • Preferred: PostgreSQL, pgvector, graph algorithms, scikit-learn, XGBoost, PyTorch, AWS Glue, Airflow, dbt, Spark, Kafka, NiFi, and federal DevSecOps/RMF/ATO environments.

Benefits

  • Competitive salary, bonus, and equity package.
  • Salary range of $150,000 to $200,000.
  • 100% employer-paid medical, dental, and vision insurance for you and your family.
  • Unlimited PTO with manager approval.
  • Flexible, remote work environment.
  • 14 weeks of fully paid parental leave.

Interested in this position?

Apply directly on the company website

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