Training Infrastructure Engineer
Mirelo AI, Berlin +2
About the job
Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video.
We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content.
We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth.
About the Role
In this role, you’ll focus on the full training stack - profiling GPU behavior, debugging training pipelines, improving throughput, choosing the right parallelism strategies, and designing the infrastructure that lets us train models efficiently at scale. You’ll work across cluster management, model training, efficient data pipelines for video and audio, inference and optimizing pytorch code. Your work will shape the foundation on which all of our generative models are built and iterated.
Key responsibilities
- Find ideal training strategies (parallelism approaches, precision trade-offs) for a variety of model sizes and compute loads