ML Infrastructure Engineer

3 days ago

Menlo Park CA, United States Strativ Group Full time

ML Infrastructure Engineer We are partnered with a Stealth AI Lab (backed by top-tier investors and advised by pioneering figures in generative and interactive media) that is hiring a Staff ML Infrastructure Engineer. This company push the boundaries of real-time generative models, building the core infrastructure that enables next-generation video AI. Their work sits at the intersection of generative media, simulation, and multimodal interaction, redefining how humans and AI co-create across gaming, film, education, and immersive content. They’re backed by leading global VCs and AI research leaders (from OpenAI, DeepMind, Meta, and others), and guided by renowned figures in computer graphics and autonomous systems. The founding team brings deep expertise from frontier AI research and large-scale distributed systems, blending academic excellence with proven startup execution. As a Staff ML Infra Engineer, you will work directly with the founders to architect, build, and scale the compute substrate that powers this next generation of AI. You’ll design and optimize the inference platform, GPU-based training clusters, and data processing pipelines that drive real-time creativity and discovery. You’ll play a key role in scaling systems for both research and production - ensuring low-latency performance, high availability, and efficient utilization across petabyte-scale data and model-serving workloads. Key Experience Required 5+ years of experience in Software / ML Infrastructure Engineering. Deep experience with distributed systems and GPU orchestration for high-performance ML workloads. Proficiency in Python, Go, or similar, and strong grasp of software engineering best practices. Hands-on expertise with Kubernetes, Docker, and IaC (Terraform). Experience optimizing model serving and data pipelines for latency and scalability. A builder’s mindset — you thrive in ambiguity, pick the right tools for the job, and ship. This is a chance to join a team working at the frontier of real-time AI systems - please apply ASAP for more info.

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