We build and publish mobile apps that reach millions — fast.
We’ve built category-leading apps time and time again — a track record proven by hits like Cleanup (#1 iPhone storage cleaner worldwide), Retake AI (#1 AI face editing app in the US), and Learna AI (the top AI language learning app globally), alongside 50+ other apps across productivity, edtech, wellness, and entertainment — all shaping the future of consumer mobile.
Since launching in 2020 with a small team in Istanbul, we’ve grown into a 300+ person global team. With over 400 million downloads and a worldwide footprint, we’re already one of the fastest-growing consumer tech companies in Europe — and Barcelona is our next big chapter.
Rooted in Istanbul, growing in Barcelona: We’re building the people, the systems, and the culture that will drive Codeway’s next phase of scale. Join us on one of the most exciting growth journeys the Barcelona tech scene will ever witness.
About the Role:
We're seeking an experienced Software Engineer to integrate our diffusion model and other cutting-edge AI research into production systems. You'll work at the intersection of AI and infrastructure (30/70 split), ensuring our GPU-intensive workloads scale seamlessly in production environments.
Key Responsibilities:
◦ Deploy and optimize our proprietary diffusion model in production environments
◦ Design and maintain large-scale GPU-based services on Google Cloud Platform
◦ Build containerized inference pipelines using Docker and Kubernetes on GCP
◦ Develop robust backend systems integrating PyTorch models with production infrastructure
◦ Implement real-time data pipelines using Google Firestore and other GCP services
◦ Monitor, profile, and optimize GPU workload performance at scale
◦ Collaborate with our AI researchers to transform latest research into production-ready systems
Qualifications:
◦ Proven experience in software/infrastructure development focused on AI/ML Systems
◦ Strong proficiency with Google Cloud Platform services (Compute Engine, GKE, Cloud Storage, etc.)
◦ Expert-level Python skills with hands-on experience in PyTorch
◦ Demonstrated experience with Docker and Kubernetes for containerized GPU inference on GCP
◦ Track record of building and maintaining large-scale GPU-based services
◦ Experience with Google Firestore or similar NoSQL databases
◦ Understanding of GPU optimization techniques and distributed computing
Nice to Have:
◦ Experience with diffusion models or generative AI systems
◦ Experience in observability, monitoring and performance tuning for GPU-heavy services. Tracking latency, error rates and utilization
What We Offer:
◦ The chance to work with a high-caliber, passionate international team building category-defining products
◦ Full-time contract with competitive salary
◦ Private health insurance, a generous meal card
◦ Full visa & relocation support if you’re moving to Barcelona
◦ Annual learning & development budget for courses, tools, or events that support your growth
◦ Access to our wellness perks, including individual budget for sports or online consultations with a psychologist
◦ Free access to Codeway’s suite of apps across productivity, wellness, and education
◦ A top-notch office in the heart of the city
Our Hiring Process:
◦ Application → HR Interview → Case Study → Technical Interview → General Manager Interview → Offer
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