Senior Entity Resolution Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $195k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

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Logo of Defcon AI

Defcon AI

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📦 Logistics

Artificial Intelligence • Transport • Logistics

Defcon AI is a company focused on transforming logistics and supply chain operations using AI-driven technologies. The company addresses disruptions caused by natural disasters, unanticipated events, and opponents through sophisticated software modeling and intelligent agents. Defcon AI aims to integrate next-generation technologies within logistics and decision-making processes to improve response planning in complex and contested environments. Positioned at the convergence of AI, mobility, and logistics, Defcon AI collaborates with partners to provide efficient, reliable, and data-driven solutions tailored to specific needs. The company is committed to enhancing resilience and efficiency in the logistics sector.

📋 Description

• Implement and refine entity-level record matching: blocking, candidate generation, pairwise scoring, clustering, and threshold policy • Reuse one matching engine for record linkage, deduplication, and known-entity checks • Establish provenance so every node and edge traces back to the source that asserted it • Own the false-merge versus false-split tradeoff in matching decisions and make it explainable • Own technical execution of the matching approach against the in-house design, including separate evaluation of the fixed reference dataset, candidate retrieval, and final matching, plus threshold recommendations with evidence for review • Document matching logic in enough detail to serve as an implementation reference for other engineers

🎯 Requirements

• 5+ years of experience, including shipping production record matching or entity resolution • Ability to explain the matching tradeoffs you made, including how you handled false merges versus false splits • Strong Python and SQL, with demonstrated experience on large, messy, real-world data • Ability to explain a matching decision to a stakeholder who must defend it without understanding its internals • US Citizenship Required • Active US Secret clearance required to start • Direct experience applying probabilistic matching to inconsistent identity data such as names, dates, addresses, and identifiers, and familiarity with the failure modes of each (preferred) • Familiarity with probabilistic record-linkage frameworks and tooling such as Fellegi-Sunter models, Splink, Dedupe, Zingg, or an in-house equivalent (preferred) • Record linkage, master data management, or identity management experience (preferred) • Graph data modeling and graph algorithms applied in production (preferred) • PostgreSQL and pgvector or comparable (preferred) • Active Top Secret clearance (preferred)

🏖️ Benefits

• A fully remote, results-based environment • Competitive salary, bonus, and equity package • 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family • Unlimited PTO, with your manager’s approval • Flexible work environment where you manage your work day • 14 weeks of fully-paid parental leave

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