AI Research Engineer

AI Innovation Specialist"

We're seeking a talented AI researcher to join our team and shape the future of digital finance. As an AI Innovation Specialist, you'll be responsible for driving innovation in model serving and inference architectures for advanced AI systems.You'll work on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications.This is a unique opportunity to contribute to the development of cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.About the Role: As an AI Innovation Specialist, you'll have the chance to work on a wide spectrum of systems, from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.Your responsibilities will include designing and deploying state-of-the-art model serving architectures, establishing clear performance targets, building and running controlled inference tests, and analyzing computational efficiency.You'll also work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications.What We Offer: We're committed to creating a collaborative and inclusive work environment that fosters growth and opportunities for all employees.We offer competitive compensation packages, comprehensive benefits, and access to ongoing training and development programs.If you're passionate about making a mark in the fintech space and want to be part of a dynamic and innovative team, we'd love to hear from you!Requirements: To be successful in this role, you'll need a degree in Computer Science or a related field, ideally complemented by a solid track record in AI R&D.You should have proven experience in low-level kernel optimizations and inference optimization on mobile devices, as well as a deep understanding of modern model serving architectures and inference optimization techniques.A strong background in writing CPU and GPU kernels for mobile devices is also essential, along with practical experience in developing and deploying end-to-end inference pipelines.Benefits: We offer a range of benefits, including: Competitive salary and bonus structure Comprehensive health insurance and wellness programs Professional development opportunities and access to ongoing training Flexible working hours and remote work options Access to cutting-edge technology and tools Contact Us: If you're interested in this exciting opportunity, please submit your application through our website.