Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves working closely with top AAA game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and fine-tune AI models and rendering algorithms, collaborate with hardware and driver teams, and contribute to next-generation GPU architecture planning. They will also create technical demos, publish research, and present findings at industry conferences, driving innovation in AI and real-time graphics.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive impactful projects. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and modern ML frameworks to extract actionable insights and drive sustainable growth.
This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight within the middle mile. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and optimizing the freight marketplace to improve operations and customer experiences.
This role involves developing and deploying machine learning and AI models to support risk management, compliance, and contractor analytics. You'll work closely with engineering and product teams, using modern cloud technologies like AWS, Azure, and Microsoft Fabric to build scalable solutions.
This role involves building and maintaining secure, scalable cloud-native platforms that power AI-driven public safety solutions. You'll work across the full stack with a strong focus on AWS infrastructure, containerisation, and Infrastructure as Code, while collaborating with AI and product teams to deliver mission-critical systems. The position requires operational ownership of production environments and a commitment to reliability, security, and automation.
Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing...
This role involves leading the scientific design and validation of AI-powered assessment and learning solutions, working closely with product and engineering teams to translate advanced research into production-ready systems. The Principal AI Scientist will shape methodology, ensure fairness and scalability, and act as a scientific authority within the organization.
Lead the creation of a new AI research and engineering function within a global investment firm, developing advanced machine learning and agentic systems to enhance investment decision-making. Translate frontier AI research into practical tools for portfolio managers and quantitative researchers, with a focus on generating measurable alpha. Build and lead a high-performance team while establishing scalable AI infrastructure and governance frameworks.
This role involves designing and prototyping AI and LLM-based applications to enhance financial research workflows. You will work closely with business users to identify opportunities, build proof-of-concepts, and integrate AI solutions into enterprise platforms, while collaborating with cross-functional teams to scale successful prototypes.
This role involves designing and scaling AI-driven data science solutions using machine learning, GenAI, NLP, and cloud technologies. The Data Scientist will work on high-impact public and private sector projects, engaging with clients to define challenges, communicate solutions, and lead Agile teams. Opportunities include contributing to whitepapers and speaking at conferences within a technically advanced, inclusive environment.
This role involves designing and scaling data science solutions using machine learning, GenAI, NLP, and cloud technologies for public and private sector clients. You'll work closely with stakeholders to define challenges, lead Agile teams, and deliver impactful technical outcomes. Opportunities exist to contribute to thought leadership through whitepapers and conference representation.
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.
As a Data Science Manager in Logistics, you will lead the Autoplanner team to develop and deploy AI systems that optimize planning across global warehouses and last-mile assets. You will collaborate with product and engineering teams to integrate data science models, mentor team members, and drive best practices in a fast-paced environment.
