Develop expertise in relevant machine learning, deep learning, and multimodal AI techniques, and apply them to solve challenging problems in image indexing, content understanding, selection, and ranking. Partner with scientists, engineers, and product managers to understand business and product requirements, translate them into data-driven solutions, and deliver measurable product impact. Design, implement, and evaluate machine learning and deep learning models, including Large Language Models (LLMs), Small Language Models (SLMs), and multimodal models for document understanding, content discovery, parsing, clustering, selection, and ranking. Conduct large-scale data analysis and experimentation to identify opportunities for improving image index quality, freshness, relevance, and diversity. Develop robust evaluation methodologies and analyze experiment results to drive model improvements and support data-informed decision making. Contribute to near real-time indexing systems and AI-powered platform capabilities that improve multimedia content discovery and user experiences. Work with petabyte-scale datasets and Big Data technologies to build, validate, and optimize machine learning solutions for production environments. Document experiments, model performance, methodologies, and key learnings, and communicate findings effectively with teammates and stakeholders. Follow responsible AI, privacy, security, and data governance best practices throughout the model development lifecycle. Stay current with advancements in machine learning, deep learning, generative AI, and multimodal systems, and apply relevant innovations to improve product capabilities. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Solid machine learning / computer vision / natural language processing experience and results in academy or industry. Publications in major ML/IR/NLP/CV conferences. Examples: ICML, NIPS, SIGIR, ACL, EMNLP, CVPR, KDD. Good communication skills and ability to work in collaborative environment. Good design and problem-solving skills and an ability to innovate and solve challenging technical problems. Passion and self-motivation. Embrace engineering excellence and delivering quality results at scale.
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