Full-Stack Software Engineer
Mirelo AI - Berlin, Germany, Hybrid, Tübingen
Posted Dec 3, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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About this role
Full-Stack Software Engineer Berlin, Germany, Hybrid, Tübingen 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 At Mirelo, you'll join a small, fast-moving team building real products on top of our generative audio models. This role is hands-on and high-ownership: you'll ship end-to-end features across our stack, work directly with research and product, and help shape how our technology becomes something creators and partners actually use. As we scale our go-to-market efforts, the engineering work you do will sit at the heart of both user-facing products and deeper integrations with platforms, tools, and enterprise partners. Key Responsibilities - Building and maintaining our products on top of our cutting-edge generative AI models for music and sound. - High degrees of ownership: you will be responsible for shipping end-to-end features across the front and back ends of our stack, as well as helping set the direction of the features and products you're working on. - Collaborate closely with our research teams and growth/sales teams and stay close to our users: spot practical opportunities, identify pain points, and turn
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