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.
P-1535At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
As a Robot Pilot, you will use Virtual Reality (VR) tools to train and guide warehouse robots in performing complex tasks with high accuracy. You will also annotate training data to improve AI algorithms, collaborate with the engineering team, and ensure precision and speed in robot guidance. This role is hands-on and involves working in a fast-paced office environment, contributing to the continuous improvement of robotic dexterity and efficiency.
Develop and optimize generative machine learning models for protein design, working closely with biologists and engineers to translate model outputs into real-world wet lab experiments. The role emphasizes robust ML development, data pipeline construction, and rapid iteration based on experimental feedback, within an interdisciplinary research environment focused on advancing synthetic biology.
This role involves leading technical decision-making and model deployment in data science, while coaching a team and driving NLP and LLM initiatives. You'll work closely with engineering, product, and operations teams to deliver production-ready ML solutions and improve model governance.
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.
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 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.
