Modal

Join Modal as a Forward Deployed ML Engineer in London, helping leading AI companies optimize demanding workloads such as LLM serving, model training, audio pipelines, and scientific computing. The role combines hands-on engineering, customer collaboration, technical demonstrations, and contributions to Modal’s platform and open-source ecosystem.

Build and operate a high-performance distributed object storage system powering Modal’s serverless AI platform. You’ll work across caching, replication, peer-to-peer data sharing, garbage collection, and local storage at hundreds-of-petabytes scale.

Build and own Modal’s GTM data platform, including an organizational graph, CRM data systems, analytics models, and reverse ETL pipelines. You’ll combine data engineering, analytics engineering, and revenue operations to give Marketing and Sales reliable customer context and workflows.

Build and improve Modal’s SDK and CLI, creating developer-friendly abstractions and primitives for AI infrastructure. You’ll work closely with users and help support production systems through an on-call rotation.

Build deep systems infrastructure for Modal’s inference and training workloads, improving container startup, snapshotting, filesystem performance, GPU support, and runtime isolation. The role combines Rust and Go development with Linux, kernel, container, storage, and distributed-systems debugging.

Build foundational analytics infrastructure at Modal, enabling self-serve AI-powered analysis, product insights, financial reporting, and operational decision-making. This role combines analytics engineering, data pipelines, and strategic partnership across the business.

Build the machines layer powering Modal’s serverless AI infrastructure, from bare-metal provisioning and hardware integration to automated fleet health and recovery. This role tackles complex systems problems across GPUs, networking, operating systems, and cloud control planes.

Modal is seeking a content-minded Documentation Engineer to build reliable, developer-focused documentation and improve how technical content supports both developers and AI agents. The role combines technical writing, content architecture, documentation standards, and automated validation.