Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
In this role, you will serve as a trusted technical advisor, helping customers integrate advanced AI and robotics technologies into medical and surgical robotics systems. You will develop proof-of-concept demonstrations, build strategic relationships, and work on impactful healthcare and robotics projects, leveraging NVIDIA's platforms like Omniverse and Isaac Sim.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and building scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
This role involves building and deploying applications that leverage AI-driven physics models to solve complex engineering problems for customers across various industries. You will work closely with cross-functional teams, including data scientists and machine learning engineers, to develop and refine tools that optimize and automate engineering processes. Travel to customer sites globally is a key part of the role, allowing for on-site collaboration and solution-building.
As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative insights and products.
As a Senior Research Data Scientist, you will drive the development of advanced AI models and capabilities, focusing on transformer-based architectures and generative AI. You will collaborate with senior leaders, engineers, and academic partners to translate innovative research into scalable solutions that influence product and platform strategy.
This role involves designing, building, and deploying machine learning models and pipelines to support evidence-based decision-making in healthcare. You will work closely with data scientists, engineers, and stakeholders to solve complex business problems and improve data practices, ensuring high standards of data governance, ethics, and security.
This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, collaborate with product teams, and act as a key partner to the Director of AI.
This role involves designing and enhancing real-time market data infrastructure, building scalable platforms for quantitative research, and developing simulation and backtesting environments. Engineers will also create research tooling, optimize performance-critical systems, and contribute to the architecture of next-generation trading and research infrastructure.
This role involves designing and delivering scalable data platforms, building and optimizing data pipelines, and defining data governance standards. You will work closely with cross-functional teams to deliver end-to-end data solutions and support AI and machine learning workflows.
This role involves leading a team to develop and deploy scalable software applications using generative AI models. Key responsibilities include rapidly developing new features, collaborating with researchers and product managers, and mentoring junior engineers. The role emphasizes end-to-end development and translating cutting-edge AI research into real-world products.
This newly created role involves auditing compliance, assurance, and surveillance functions to identify AI opportunities, building rapid prototypes, and bridging the gap between compliance and AI engineering teams. The role is crucial for transforming business processes through AI and ensuring smooth handover to production.
As an HFC Fellow, you will collaborate on high-impact AI projects, design and evaluate complex datasets, and contribute to research publications. You'll join a global network of experts, set your own flexible schedule, and gain exposure to cutting-edge AI research and applications.
