Role overview
ML Infra/Systems Engineer - (Real-Time Multimodal AI)
What we're looking for
Our client are building the future of visual conversational systems, they just completed a $10m seed funding and are now focused on strengthening the engineering team.
They're creating real-time, human-like video AI experiences at the intersection of multimodal ML and high-performance infrastructure. We are looking for a hands-on Systems Engineer to build the foundational infrastructure powering these workloads. You’ll own the serving stack, GPU clusters, and real-time streaming architecture, ensuring millions of users can interact with AI with zero lag.
- 2+ Years Experience: Proven track record building and operating ML infrastructure in production.
- Polyglot Engineering: Strong proficiency in Python plus either Rust or Go.
- Cloud Native: Deep experience with Kubernetes, Terraform, and managing high-traffic distributed systems.
- Multimedia Knowledge: Practical experience with video/audio streaming or large-scale multimedia ML workloads.
- Startup DNA: High agency, builder-first mindset, and a preference for engineering over management.
In accordance with local employment laws, applicants must have current, valid authorisation to work in the US at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for the US cannot be considered.
If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV at [email protected]
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