Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype experimental solutions, improve scene realism, and build evaluation workflows for robust technology development.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
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 designing scalable data pipelines. You will also travel to customer sites globally to collaborate on-site and ensure the practical application of AI models.
This role involves designing and conducting complex data collection and creation tasks to support the development and evaluation of Amazon's AI models. You will work closely with cross-functional teams to ensure the quality and innovation of AI systems, using synthetic data generation, model-supported methods, and human-in-the-loop data collection.
As a Senior Software Engineer in Faculty AI's Defence team, you will lead backend and edge/IoT engineering, implementing robust, scalable solutions. You will work closely with Lead Engineers and Data Scientists to bridge the gap between machine learning research and production-grade software, while mentoring peers and collaborating on high-impact projects.
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...
This role involves working in a fast-paced, interdisciplinary team to build a cutting-edge ML-based software platform for drug discovery. Responsibilities include data engineering, service-oriented architecture, and collaboration with scientists and ML researchers to accelerate scientific breakthroughs using AI.
As a Computational Drug Designer, you will work on cutting-edge drug discovery projects, applying AI and computational chemistry to design novel molecules. You will collaborate with interdisciplinary teams, contribute to scientific proposals, and mentor junior colleagues in a fast-paced, innovative environment.
Computational Protein DesignerThe opportunityWe are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst...
This role involves providing expert consultation on ML and Gen AI data collections, managing customer relationships, and driving business value through technical advisory and partnership building. You will coordinate across teams, document effective solutions, and optimize collection health metrics to ensure customer success.
This role involves conducting user experience research to define the next frontier of generative AI, working closely with a multidisciplinary team to explore and prototype new ideas. The UX Researcher will design and execute research studies, provide strategic guidance, and help shape the culture of AIUX at DeepMind.
This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
Leads product vision and strategy for Wayve's simulation, evaluation, and validation platforms used in developing the AI Driver. Aligns cross-functional platform teams to build a unified, high-quality internal system that supports rapid development, rigorous testing, and safe deployment of autonomous driving technology. Focuses on developer experience, platform reliability, and operational excellence in a safety-critical environment.
