Modal

Forward Deployed ML Engineer to partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on demanding workloads like LLM serving, model training (SFT, RLHF), and audio pipelines. This role involves hands-on optimization, contributing to open-source projects, and collaborating with product/sales teams.

This role is a Forward Deployed Engineer focused on technical sales for an AI infrastructure platform. The FDE will partner with sales to understand customer needs, design solutions using Modal's platform, and support enterprise sales cycles. Key responsibilities include technical discovery, solution architecture, demos, proof-of-concepts, and addressing security/compliance concerns. The role requires deep experience with cloud platforms, containerization, databases, and an understanding of ML/AI infrastructure challenges.

The role is for a systems engineer to build and maintain the high-performance serverless platform that powers AI workloads, focusing on GPU access, container startups, and inference serving. It requires strong experience in distributed systems, cloud, and low-level OS foundations, with an emphasis on performance engineering.