Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
This role involves collaborating with leading research institutions on high-impact AI and robotics projects, championing NVIDIA's software platforms, and shaping strategic partnerships. The position requires significant research experience, publication records, and expertise in Physical AI and Robotics.
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 learning and working with the CrowdStrike Falcon platform, triaging and analyzing security alerts, and assisting with customer inquiries. Graduates will gain hands-on experience in incident response, malware analysis, and security control development, working in a collaborative environment with a focus on rapid skill growth.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
This role involves owning the product roadmap and execution for critical defense and national security products, working closely with engineering and ML teams. You will design and ship AI-powered solutions, navigate unique defense constraints, and engage with senior technical and government stakeholders.
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...
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 designing and developing scalable, security-focused applications while working closely with the Founder and a small, collaborative engineering team. You'll have the opportunity to contribute to key technical decisions, explore emerging technologies in cyber security and AI, and shape the product from the ground up.
This role involves developing and deploying AI-augmented, multi-tenant business applications in the financial services sector. The developer will work closely with stakeholders to design and deliver custom software solutions, lead technical innovation, and stay ahead of emerging AI trends. The position emphasizes end-to-end ownership, collaboration, and advancing AI-driven engineering practices within a high-performing team.
This role involves building and optimizing data pipelines, developing scalable data models, and transforming raw data into trusted datasets to support reporting, business intelligence, and AI initiatives. You will collaborate with stakeholders across the business to improve data accessibility, quality, and governance.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on transforming pharma intelligence. Collaborate across engineering and product to build scalable AI solutions, optimize infrastructure for performance and cost, and explore advanced techniques like code interpretation and LLM tooling. The role emphasizes innovation, mentorship, and staying current with advancements in machine learning and AI.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on pharma intelligence. Collaborate across product, data science, and engineering to build scalable AI solutions using advanced ML infrastructure and LLM-driven techniques. The role emphasizes system optimization, architectural innovation, and knowledge sharing in a high-impact healthcare domain.
This role involves developing predictive models for pricing, risk, and customer acquisition using large datasets, as well as building clustering and segmentation models to inform business strategy. You'll collaborate with analysts and engineers to deploy models into production and help shape best practices in a greenfield analytics environment. The position offers early ownership of high-impact projects within a fast-growing, data-driven insurance company.
This role involves building AI-driven features like personal assistants and chatbots, developing user-focused and backend solutions using deep learning, and collaborating with cross-functional teams to solve complex deep learning challenges. The focus is on integrating cutting-edge AI technologies to drive innovation and improve customer experience at Revolut.
