Forward Deployed ML Engineer

Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.

We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit high 8-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.

Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

Modal is looking for a machine learning engineer to help us with some of the most challenging AI/ML problems our customers are facing. As a Forward Deployed ML Engineer, you will:

• Help our customers architect and build complex AI applications on Modal

• Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI

• Optimize performance for open-source models and frameworks

• Write examples and build demos that showcase Modal

• Contribute to the core Modal stack

• Help our community build cool stuff on top of Modal

We are looking for someone with these skills:

• At least a few years of professional ML engineering experience (or solutions engineering or similar)

• Clear communicator who can make complex ideas easy to understand

• Solid business sense and ability to build trust and strong working relationships

• Willing to work in-person