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Tier-1 employer and metro location increase competition, tempered by specialized multimodal ML skill requirements.
Medium because advanced multimodal and RL expertise is transferable but favors ML-focused candidates.
Medium due to strong technical and research expectations without explicit years or certification requirements.
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Design and develop agentic AI systems with multi-step reasoning, autonomous task execution, and multimodal intelligence to automate complex investigation processes.
Contribute to productionizing multimodal deep learning and ML solutions integrating text, images, and structured data for trust and safety automation at scale.
Prototype and implement components with production-quality code, rigorously test and evaluate models, and participate in design and prioritization decisions within the team.
Programming experience in Java, C++, Python, or related languages.
Experience with SQL and a relational database management system (e.g., Oracle) or Data Warehouse.
Work Experience Required: Not explicitly mentioned in the JD.
Experience implementing algorithms using both existing toolkits and self-developed code is preferred but not strictly mandatory.
Expertise or strong interest in NLP, computer vision, representation learning, agentic architectures, and multimodal AI approaches.
Ability to translate business problems into well-defined scientific problems and metrics and work at the intersection of research and production deployment.
Experience or publication history in peer-reviewed conferences or journals in relevant technical areas is advantageous.