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About the Role
We are seeking Forward Deployed ML Engineers to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you will partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads, including LLM serving, model training, audio pipelines, and scientific computing. You will help teams reach outcomes that most engineers cannot achieve on their own.
Responsibilities
- Work hands-on with companies to architect and optimize production AI workloads on Modal.
- Contribute to open-source projects and publish technical content demonstrating Modal’s capabilities.
- Collaborate with Modal’s product and sales teams, contributing to the platform as an engineer and product stakeholder.
- Build trusted relationships with technical leaders at companies doing frontier AI work.
- Conduct technical demos, experiments, and proofs of concept to make Modal’s performance advantages tangible.
Requirements
- 2+ years of professional ML engineering experience.
- Hands-on experience in inference optimization, model training, GPU programming, or ML infrastructure.
- Familiarity with serving and training toolchains, with deep knowledge in at least one.
- Strong communication skills, capable of discussing technical architecture and articulating tradeoffs.
- Genuine interest in working directly with customers.
- Willingness to work in person in London.
Skills
- ML engineering
- Inference optimization
- Model training
- GPU programming
- ML infrastructure
- Serving toolchains
- Training toolchains
- Communication
- Customer interaction
Location
- London
Work Type
- Onsite
- Full-time
Experience Level
- 2+ years
About the Company
- AI needs a new infrastructure layer, and we are building it at Modal.
- Our customers include category-defining companies.
- Customers rely on Modal for instant GPU access, sub-second container starts, and native storage for serving low-latency inference, fine-tuning models, and accessing production-ready sandboxes at scale.
- We have passed $1B in annualized run rate, up 15x from a year ago.
- In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
- Our team includes creators of popular open-source projects, academic researchers, international olympiad medalists, and experienced engineering and product leaders.