Direct message the job poster from 5V Tech | Certified B Corp™ Overview Senior Machine Learning Infrastructure Engineer. We’re looking for a Senior ML Infrastructure Engineer to build, scale, and refine the core systems powering advanced AI from robotics perception and real-time video analytics to LLM/LVM services. You’ll collaborate across disciplines to enable fast experimentation, robust production deployments, and measurable performance gains. You’ll design and scale the infrastructure behind advanced AI systems, working closely with researchers and engineers. Responsibilities Design and scale the infrastructure behind advanced AI systems, working closely with researchers and engineers. Collaborate across disciplines to enable fast experimentation, robust production deployments, and measurable performance gains. Take ideas from data pipelines to deployment, building end-to-end ML systems. Qualifications Strong programming skills in Python (C++ a plus) and robust software engineering practices Experience with distributed training systems and scaling ML workflows Proven track record building end-to-end ML systems, from data pipelines to deployment Hands-on experience with cloud platforms, Docker, and Kubernetes Familiarity with infrastructure-as-code (Terraform, AWS CDK) and build systems like Bazel Experience deploying ML models in production (APIs, batch, streaming) Ability to work on hybrid deployments and edge/cloud architectures, especially in robotics or real-time contexts Details Salary: $215,000 pa Location: Hybrid - Bay Area 5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice. 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.

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