Forward Deployed ML Engineer
Company: Modal (https://modal.com/)
Location: Stockholm
Type: On-site role, Full-time
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.