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 with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
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...
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...
As an Applied AI Architect at Anthropic, you will serve as a trusted technical advisor to large enterprises, helping them understand and integrate Claude, Anthropic's AI system, into their technology stack. You will work closely with sales, product, and engineering teams to guide customers through technical discovery, evaluation, and deployment, ensuring alignment with business objectives and maintaining high standards for safety and reliability.
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, conducting and overseeing cutting-edge research, publishing findings, and mentoring a growing team of researchers. The role also involves collaborating on high-risk evaluations and positioning Faculty as a thought leader in AI safety.
This role involves leading and growing a team of Partner Solutions Architects to drive the adoption of Anthropic's AI products through global and regional system integrators, cloud partners, and strategic technology partners. You will establish processes, provide technical guidance, and represent Anthropic in key international partnerships, while ensuring safety and best practices.
As an Applied Scientist in Amazon Advertising's CreativeX team, you will focus on developing and implementing multi-modal Generative AI methods to create high-quality advertising creatives. Your responsibilities will include building and optimizing ML models, conducting experiments, and collaborating with cross-functional teams to productize your research. You will also contribute to the team's collaborative spirit by mentoring others and publishing your findings.
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 leading a team to develop and deploy scalable software applications using generative AI models. Key responsibilities include rapidly developing new features, collaborating with researchers and product managers, and mentoring junior engineers. The role emphasizes end-to-end development and translating cutting-edge AI research into real-world products.
This role involves designing and building reliable systems for a research-focused team, translating varied research needs into well-engineered solutions, and contributing to the technical direction and standards of a growing engineering function. The work is centered around AI and chemical-biological research, with a focus on scalable, robust, and maintainable software development.
This role involves leading a dedicated engineering team within the Chem-Bio (CB) division of 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, growing the team, and shaping the engineering culture within a research-heavy environment.
As a Senior or Principal Software Engineer, you will lead the development and maintenance of a robust and scalable AI infrastructure, focusing on platform reliability, accelerator infrastructure, workload orchestration, and logging systems. You will work closely with research and applied ML teams to ensure the stability and performance of the systems that drive groundbreaking biotech innovations.
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.
About the TeamThe Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.Our...
