Lead and mentor an ~8-person compute engineering team, set architectural direction, contribute ~50% hands-on to core compute services (orchestration, provisioning, scaling), drive reliability and observability, coordinate cross-team integrations, run performance reviews, and translate strategy into timely execution.

Lead and mentor an ~8-person compute engineering team, drive architecture for a scalable, reliable compute platform, contribute ~50% hands-on code, collaborate cross-functionally, and ensure delivery, observability, and operational excellence for core compute services.

Design and build high-performance, production-grade backend services and P2P systems in Go; optimise concurrency, security, reliability, and observability; collaborate across infrastructure, DevOps, and product; mentor engineers and drive backend architecture.

Design and operate multicloud production infrastructure using AWS, GCP, and Azure. Manage Kubernetes clusters and implement Infrastructure as Code with Terraform, supporting AI systems for Fortune 500 clients.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Lead the design and implementation of ML infrastructure, working on the model lifecycle, collaborating with researchers and engineering teams, and ensuring robust AI systems.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

The role involves designing, building, and maintaining scalable full stack applications using Node.js, React, and TypeScript, collaborating with teams to deliver high-performance AI-driven features.

The CUDA Kernel Engineer will develop and optimize NVIDIA CUDA kernels, profile GPU workloads, and contribute to GPU architecture decisions for AI systems.

Looking for a UI/UX & Motion Designer to create product videos, UI animations, and mockups while collaborating with teams to enhance user experience.

Lead the development of web applications using React and Node.js, design backend services, implement authentication, and optimize performance in an AI-powered trading environment.

Lead and design scalable fullstack applications using React and Node.js, focusing on technical leadership and architectural ownership while migrating monolithic systems to SPA architectures.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

The Staff Machine Learning Engineer will define and build ML capabilities, design production systems, and lead ML strategy in a high-growth AI cybersecurity company.

The role involves defining and building ML capabilities, creating production systems, and managing data strategy while collaborating with engineers and leading an ML team.

The VP AI/Machine Learning will define and implement machine learning capabilities in a high-growth cybersecurity company, focusing on strategy, infrastructure, and building production systems. The role involves defining ML applications, data strategy, and mentoring an ML team.

The role involves defining and building the company's machine learning capabilities, designing production ML systems, owning data strategy, and partnering with engineers. Requires experience in ML system production and software engineering fundamentals.

Define ML strategy and build production ML systems end-to-end (data pipelines, training, evaluation, inference). Own data strategy, integrate ML with product/backend, write production-quality code, and recruit and mentor the ML team while setting technical direction.

Lead and build the companys ML function: define strategy, design production ML systems and infrastructure, own data and evaluation practices, write production code, integrate ML into products, and recruit and mentor an expanding ML team.

The FP&A Manager will build the AI-augmented FP&A function, lead strategic finance transformation, and provide insights for executive decision-making.