Future Tech Jobs
Future Tech Jobs
As a Workplace Manager for Synthesia's NYC office, you will be responsible for managing the day-to-day operations, ensuring a high-quality workplace experience, and fostering a positive office culture. Key responsibilities include overseeing front-of-house operations, managing vendors, coordinating office visits, and maintaining health and safety policies.
This role involves leading the technical direction for offline video generation at Synthesia, a leading AI video platform. You will own the full stack, from pre-training to post-training, and work closely with research leadership to define long-term strategy and resolve complex technical challenges. The role requires hands-on experience in training large generative models and a passion for pushing the boundaries of video generation technology.
This role involves designing and building systems to proactively identify and enforce against abuse on OpenAI’s products. You will work cross-functionally with product, policy, and engineering teams to develop robust abuse monitoring, automate processes, and respond to critical escalations, including those involving sensitive content.
As a Talent Coordinator at Wayve, you will manage high-volume interview scheduling, ensure a positive candidate experience, and support hiring operations. This role involves coordinating across multiple calendars, communicating with various stakeholders, and occasionally handling administrative tasks. The position is based in London with a requirement to be in the office 2-3 days per week.
This role involves designing and conducting data collection tasks, evaluating dataset quality, and assessing the robustness of large language models (LLMs). You will work closely with researchers, engineers, and data annotators to improve the overall effectiveness of AI systems and ensure they are reliable and scalable.
This role involves staying up-to-date with the latest research in code LLMs and agents, designing and implementing scalable training strategies, and leading experiments on state-of-the-art compute infrastructure. You will collaborate with a team of researchers and engineers to develop cutting-edge code generation and agent systems for enterprise use.
This role involves applying advanced computational and statistical methods to analyse high-dimensional biological datasets, particularly in single-cell and spatial omics. You will collaborate closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable insights for disease understanding and drug discovery.
The IT Support Technician will provide first-line support for hardware and software issues, manage user accounts and permissions, and assist with networking and infrastructure tasks. The role offers hands-on experience in a tech-bio environment, including support for HPC clusters and integration of scientific instruments.
About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and...
The opportunityWe are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. You...
Member of Technical Staff, Applied AIThe opportunityWe are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join...
This role involves designing, building, and maintaining data pipelines for AI-driven products, working closely with data scientists to productionise models, and contributing to engineering best practices in a fast-paced startup environment. The position offers hands-on experience with cutting-edge technology and real-time optimisation products.
This role involves developing and shaping the front-end architecture of a client-facing portal for an AI-driven platform. You will create intuitive UIs for complex analytical workflows, work closely with product and data science teams, and contribute to testing and documentation. The position offers significant ownership and visibility within a small, highly technical team.
This role involves designing and deploying ML-powered features, integrating models into real-time systems, and fine-tuning NLP models. You'll work closely with the product, engineering, and leadership teams to drive the machine learning strategy and build best practices from the ground up.
This role involves building and maintaining large-scale machine learning systems for forecasting, recommendation, pricing, and AI-driven decision-making. You will work on time-series forecasting, scalable ML systems, feature stores, and MLOps, with a focus on technical depth and hands-on engineering. The team is small but high-calibre, offering significant ownership and the chance to influence technical direction.
