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Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions across various media modalities including text, image, video, 3D, and audio. We're building a powerful AI media creation platform designed to revolutionize how content is generated.As a Senior Machine Learning Engineer, you’ll take the lead on critical projects, guiding the end-to-end lifecycle from research and experimentation to production deployment and performance monitoring. Your work will help shape the capabilities of our platform and enhance the experiences of users who rely on our cutting-edge AI technologies.What You'll Be DoingIntegrate open-source and third-party models into our inference platformLead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation)Optimise inference workloads for latency, batching, memory efficiency, and throughputBenchmark model quality vs cost vs performance across modalitiesImprove inference startup times and stability under high loadBuild evaluation frameworks and internal tooling for model validationWork closely with Infrastructure and Backend teams on scalable serving systemsMonitor production performance and drive continuous optimisationMentor engineers and help raise the ML engineering bar across the teamRequirementsWhat We’re Looking ForProven experience delivering ML systems to production environmentsStrong, low-level Python skills and deep hands-on experience with PyTorchExperience working with diffusion models, LLMs, or multimodal architecturesPractical experience fine-tuning large models (LoRA, PEFT, adapters, etc.)Experience optimizing inference workloads in GPU environmentsStrong understanding of model evaluation, experimentation, and monitoringAbility to debug performance, memory, and reliability issues in productionStrong systems thinking understanding how ML decisions impact infrastructureHigh ownership and comfort operating in a fast-paced startup environmentNice to haveExperience with vLLM or custom inference serversExperience with Kubernetes or containerised ML workloadsExperience working in high-throughput distributed systemsBackground in AI media generation (image, video, audio)Experience building internal ML tooling or developer-facing APIsExperience with kernels in CUDA/C++BenefitsWe’re a remote-first team that comes together in person twice a year to plan, collaborate, and celebrate wins. Day to day we keep a few core hours for teamwork, but outside of that you set the schedule that helps you do your best work.Our environment is fast-moving and ambitious. Big pushes are part of building category-defining products, but we balance that with flexible working, generous time off, and regular retreats so the team can stay sharp and motivated.Generous paid time off – vacation, sick days, public holidaysMeaningful stock options – share in the upside you createRemote-first setup – work from home anywhere we can employ youFlexible hours – own your schedule outside core collaboration blocksFamily leave – paid maternity, paternity, and caregiver timeCompany retreats – twice-yearly gatherings in inspiring locations
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