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 solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
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 closely with a team of researchers and developers to turn cutting-edge research into robust technology, focusing on improving the realism and controllability of generated scenes.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure that powers Isomorphic Labs' groundbreaking research. You will collaborate with machine learning experts, biotech researchers, and cross-functional teams to ensure the reliability and efficiency of our AI models and cloud infrastructure.
This role involves leading the development of next-generation AI-powered security systems, collaborating with top security and engineering talent. You'll work on innovative AI products from the ground up, tackling complex security challenges and driving the transformation of security practices through cutting-edge technology.
This role involves designing and conducting complex data creation tasks, including synthetic and model-based data generation, and coordinating human-in-the-loop data collections. You will work closely with cross-functional teams to ensure the AI systems are best in class, using Python and other tools for data analysis and creation.
This role involves leading the release process for autonomous driving systems, working closely with development and product teams to ensure stable and predictable iterations. You will identify areas for efficiency improvements, design evaluation strategies, and make data-driven decisions to enhance system performance.
The role involves leading a new Data Replay & Recovery Team within CrowdStrike's Data Platform organization. Responsibilities include designing and maintaining a data platform that processes petabytes of data, developing new features, and ensuring business continuity and resiliency for downstream services. The team will work on large-scale distributed systems and collaborate with ML Platform and DevOps teams.
This role involves leading the development and maintenance of the autonomy performance framework for Wayve's Robotaxi, including defining metrics, triaging issues, and driving cross-functional improvements. You will work closely with multiple teams to ensure the product meets high standards and is ready for public release, with a focus on hands-on technical work and leadership.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
The Engineering Manager role involves leading complex AI-powered video and avatar rendering projects, breaking down ambiguous initiatives into structured plans, and driving technical excellence across backend systems, frontend rendering, and AI integrations. The role focuses on scaling the team, improving system reliability, and aligning with long-term product strategy.
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 leading a team of data scientists to develop and deploy machine learning models that solve complex retail challenges like demand forecasting and routing optimization. The manager will mentor the team, collaborate with product and engineering, and ensure the technical quality and business value of ML systems.
This role involves leading a team of data scientists in developing and deploying machine learning models for logistics and retail challenges. The Data Science Lead will manage the entire ML lifecycle, from research to production, while mentoring the team and collaborating with product and engineering.
