Forward Deployed ML Engineer

Company: Modal (https://modal.com/)

Location: Stockholm

Type: On-site role, Full-time

About the company:

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.

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

Working at Modal means joining one of the fastest-growing AI infrastructure organisations at an early stage, with many opportunities to grow within the company. Their 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.

The role

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

• Help customers (such as Lovable, Suno, and Mistral AI) architect and build complex AI applications on Modal

• Lead technical discovery sessions to understand customer infrastructure, requirements, and challenges

• Design, present, and implement technical solutions that demonstrate how Modal meets customer needs

• Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform

• Conduct demos, proof-of-concepts, and experiments to showcase Modal’s capabilities

• Optimise performance for open-source models and frameworks, and contribute to the core Modal stack

• Collaborate with product and engineering teams to communicate customer feedback and influence the product roadmap

• Contribute to the core Modal stack and help their community build cool stuff on top of Modal

We are looking for somebody who has

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

• Strong Python skills (essential for the role).

• Experience with cloud platforms (AWS, GCP, Azure), containerization, and distributed systems

• Understanding of ML/AI infrastructure, MLOps workflows, and system design

• Excellent communication skills and ability to adapt explanations to different audiences

• Strong problem-solving, judgment, and business acumen

• Ability to work independently and collaboratively in cross-functional teams

Why join Modal?

• Work on cutting-edge AI/ML infrastructure used by innovative startups and enterprise clients

• Be part of a highly technical, ambitious, and supportive team

• Influence product development and customer success at scale

• Great learning opportunities and potential for career growth in a fast-growing company

Sound like a fot? We’d love to hear from you!

For more information or questions, contact zoe.lepluart@ninox-limited.com.