This role involves architecting and designing security services with global system integrators and telco partners, leveraging CrowdStrike's Falcon platform. Responsibilities include driving platform adoption, developing technical plans, and building relationships with partner teams across various security domains.
This role focuses on redefining privileged access management by eliminating standing privileges and enforcing just-in-time, context-aware access across endpoints, infrastructure, and cloud environments. The Senior Product Manager will leverage CrowdStrike’s AI-native Falcon platform to build seamless, secure experiences for privilege elevation and session brokering, integrating deeply with identity and security telemetry. The position emphasizes AI-driven workflows, frictionless user experiences, and modernizing legacy PAM through innovation.
This role involves conducting empirical economic research to understand AI's impact on labor markets, productivity, and economic transformation across a specific region. The economist will develop and expand the Anthropic Economic Index using novel measurement systems like Clio, applying advanced econometric and machine learning methods. They will collaborate with governments, academia, and policy institutions to translate research into actionable insights and influence both public policy and internal business decisions.
This role involves building and optimizing the machine learning infrastructure that supports Anthropic’s reinforcement learning research. You'll work closely with researchers to improve training efficiency, debug performance bottlenecks, and develop tooling that accelerates model development. The position focuses on high-leverage platform improvements that scale across the entire research team.
Develop and maintain full-stack features across ElevenLabs' AI-powered voice, creative, and API platforms, with end-to-end ownership from scoping to deployment. Work in lean, autonomous teams to build scalable products using Python, TypeScript, and React, integrating cutting-edge AI models. Collaborate across engineering, growth, and sales to solve customer and internal workflow challenges while contributing to infrastructure and large-scale data systems.
Design and scale data pipelines from ingestion to delivery, implement dbt best practices, and build self-service tooling to enable cross-functional teams to access and use data independently. Develop AI agents to answer data queries and ensure data quality across systems.
Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.
A customer-facing Delivery Engineer who bridges advanced AI simulation technology with real-world engineering challenges across industries like aerospace, energy, and semiconductors. This role involves owning the customer onboarding journey, translating technical needs into product opportunities, and working closely with cross-functional teams to ensure delivered solutions create measurable value. The position emphasizes strategic account growth, deep technical understanding, and close collaboration with both clients and internal engineering teams.
You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.
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.
This role involves leading end-to-end technical deployments of cutting-edge AI models for strategic customers, from prototyping to production. The engineer will build full-stack systems, deeply integrate with customer teams, and translate field feedback into product and model improvements. Success is measured by real-world adoption and measurable impact on customer workflows.
This role involves leading the Oracle EPM Cloud platform team, ensuring service availability, performance, and data integrity. You will manage the EPM roadmap, change processes, and controls, while guiding the integration of EPM with evolving data and automation tools.
As a Machine Learning Engineer in Delivery, you will work closely with customers and internal teams to design, build, and test reliable, scalable ML pipelines. You will deploy production-grade tools, manipulate 3D data, and integrate models with simulations, traveling to customer sites for on-site collaboration.
The Assistant Management Accountant will support month-end close processes, maintain accurate financial records, and ensure compliance across multiple entities. The role involves preparing P&L analyses, balance sheet reconciliations, and VAT workings, as well as contributing to audit and tax preparation. The individual will also assist in financial reporting, cost coding, and process improvements using modern finance systems.
This role involves leading end-to-end deployments of cutting-edge AI models into production environments for strategic customers. The engineer will work full-stack, building systems that integrate generative models while deeply collaborating with customer teams to understand needs and drive adoption. Success is measured through real-world impact and feedback that shapes product and model development.
