You will work primarily on our Rust-based inference and systems codebase, which underpins the Airten real-time inference engine, DSP modules, telemetry, model execution pipeline, and public SDKs used by developers worldwide. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. Your work will directly impact performance, runtime efficiency, reliability, developer experience, and our ability to deploy neural audio models in latency-critical production environments. This role sits at the intersection of systems programming, ML inference, real-time audio, and developer infrastructure. * Contribute to model conversion and deployment workflows, including formats such as ONNX, internal model formats, or Rust-native representations
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