Technical PM, AI Research

Posted 17 days agoViewed

📍 Location: United States

🔍 Industry: Fintech

🏢 Company: SEON Technologies

🗣️ Languages: English

Requirements:

Deep expertise in computer vision, particularly document understanding, OCR, and information extraction

Strong understanding of modern NLP techniques, especially those applicable to entity recognition, name matching, and contextual understanding

Experience designing and implementing high-assurance AI systems with appropriate verification, validation, and explainability

Demonstrated ability to translate research into working prototypes and production systems

Expertise in LLM behavior engineering for large language models and multimodal AI systems

Demonstrated ability to design and implement effective evaluation frameworks for AI models

Experience with systematically improving AI model performance through iterative testing and refinement

Applied Research experience in Computer Science, Electrical Engineering, or related field

Responsibilities:

Design and implement advanced architectures for document understanding that can extract, normalize, and verify complex identity data from diverse document types

Create novel solutions for AML name screening that incorporate context-aware matching, transliteration handling, and explainable decision frameworks

Develop evaluation methodologies that rigorously benchmark new approaches against both academic standards and real-world performance metrics

Design sophisticated AI interaction architectures that optimize model performance across document analysis and fraud prevention systems

Build systematic frameworks for collecting and analyzing model performance data to guide continuous improvement cycles

Architect end-to-end systems for document analysis that combine computer vision, OCR, and structured information extraction with robust verification logic

Build high-assurance systems with appropriate guardrails, confidence scoring, and formal verification methods

Develop APIs and integration patterns that allow seamless incorporation of AI capabilities into SEON's broader platform

Create comprehensive evaluation suites for measuring model accuracy, fairness, and reliability against established benchmarks

Establish methodologies for training, fine-tuning, and continuously improving AI models with domain-specific data

Evaluate emerging research, tools, and platforms from major cloud providers and research institutions

Develop product-focused neural reasoning frameworks that balance performance with explainability requirements

Create innovative evaluation methodologies that validate AI systems against both technical and business metrics

Partner with product management to translate research innovations into market-ready capabilities

Collaborate with compliance and legal teams to ensure AI systems meet regulatory requirements for explainability and audibility

Build relationships with academic researchers and industry partners to accelerate innovation

Mentor and guide engineers as the Austin AI Innovation team grows

Apply

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