Future Tech Jobs
Future Tech Jobs
Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.
Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.
This role involves managing and negotiating complex commercial and procurement contracts for Anthropic's EMEA operations, with a focus on supporting AI technology transactions. The Contracts Manager will work closely with legal and business teams to streamline contract processes, implement scalable solutions, and align regional execution with global legal strategy. Key responsibilities include drafting agreements, improving contracting efficiency, and enabling cross-functional stakeholders through local rollout of policies and initiatives.
Build and maintain foundational systems for AI safety, oversight, and intervention mechanisms, focusing on detecting unwanted model behaviors and preventing misuse. Develop infrastructure for data management, evaluation systems, and tooling for human and agentic review while ensuring high operational reliability at scale. Work closely with cross-functional teams to implement robust, multi-layered defenses in a safety-first AI environment.
This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.
This role involves conducting empirical research in AI security, focusing on identifying vulnerabilities in AI systems and contributing to open-source projects. Fellows will work on high-impact projects with mentorship from Anthropic researchers, aiming to produce public outputs such as research papers. The program emphasizes hands-on technical work in offensive security, red teaming, and empirical ML, within a collaborative research environment.
