Seeking an AI Researcher who will help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs). Working on the CivCheck platform, you will be at the forefront of building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows.
You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues. Design data structures and storage schemes for efficient handling. Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting. Conduct Return on investment and benefit analysis. Document and present model process and model performance.
Model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems. Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.
Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.
Senior Staff Database C / C++ Software Developer to be a part of building the next-gen database platform using and contributing to the latest open-source technologies. Analyze storage/memory/compute performance and scalability bottlenecks in the system and build targeted software solutions. The role involves designing and building self-diagnostic and self-healing system capabilities.
As a database architect, you will work alongside the larger KinaTrax product development team globally, focusing on developing tools for a consistent, high-quality, end-to-end data solution for internal and client-facing purposes. You'll develop data architecture processes for large-scale biomechanics/motion capture datasets across various sports platforms and further develop back-end and front-end tasks, including hardware/software interfacing, cloud computing, and data visualization tools.
You will be part of the Analytics team and reports to the SVP of Data Science Technology, Product, and Global Analytics. You will develop tools to improve operational efficiency, automate processes, and analyze infrastructure cost effectiveness, while contributing to ongoing project modules.
As Senior Personalization Analytics Analyst, you will lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization. This person may lead the co-development of marketing technologies with our IT teams.