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...
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 research scientists and simulation engineers to build and optimize machine learning models for real-world physics and engineering problems. You will design, implement, and scale models using distributed training architectures and cloud services, while also mentoring colleagues and translating research into reusable libraries and products.
This role involves leading machine learning engineering efforts within a research context, focusing on scaling and optimising AI models for high-fidelity physics and engineering simulations. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, working closely with scientists and guiding junior team members. Key responsibilities include defining technical strategy, building scalable ML infrastructure, and mentoring within a collaborative, interdisciplinary team.
Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech...
This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and translate model outputs into wet lab testing campaigns. The position emphasizes scientific rigor, production-grade code, and rapid iteration based on experimental feedback.
This role involves strategic talent acquisition for OpenAI’s AI/ML research teams across EMEA, focusing on identifying and engaging leading researchers and technical scientists. The recruiter will partner closely with research staff to shape hiring strategies, anticipate talent needs, and influence decisions in a fast-evolving technical landscape. Success requires deep understanding of AI/ML research communities and the ability to navigate complex, high-stakes recruitment processes.
This role involves defining and executing a comprehensive data strategy to support drug discovery at a tech-driven biotech company. The individual will lead data governance, acquisition, and infrastructure initiatives, working across interdisciplinary teams to ensure high-quality, compliant, and FAIR-aligned data assets. The position emphasizes integration of diverse datasets—including omics, imaging, and clinical data—and building a scalable data foundation for machine learning and research.
About the teamThe Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they...
The role involves working with a multidisciplinary team to study high-impact societal risks caused by advanced AI deployment. Responsibilities include designing and implementing experiments, building data pipelines, and evaluating AI models to inform mitigation strategies.
This role involves leading a small engineering team within the Chem-Bio (CB) team at the AI Security Institute. Responsibilities include setting technical direction, managing engineers, designing and building reliable systems, and working closely with researchers to translate their needs into well-engineered solutions. The role also involves hiring, shaping engineering culture, and coordinating with other teams across the organization.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
The Principal Research Scientist for AI Safety will lead Faculty's research team, focusing on large language models and safety-critical AI systems. Responsibilities include setting the research agenda, overseeing projects, publishing findings, and mentoring a growing team. The role involves collaborating on high-risk evaluations and positioning Faculty as a thought leader in AI safety.
This role involves leading high-impact AI safety research, focusing on red teaming and evaluation of frontier models in high-risk domains such as cybersecurity and CBRN. The scientist will drive technical research from concept to publication, develop safety-focused evaluations, and collaborate with government and commercial partners to shape real-world AI deployment. Work includes advancing mitigation strategies and contributing to national security-focused AI safety initiatives.
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.
