Machine Learning Engineer

Intro We're looking for a Machine Learning Engineer with research experience to join our AI team. You'll bridge the gap between research and engineering, implementing and deploying state-of-the-art NLP solutions while maintaining high engineering standards. Important : This position is based in our Hamburg office. Tasks Implement and adapt latest research in NLP for production use Develop and deploy efficient RAG systems and fine-tuning pipelines Design and conduct experiments to validate new approaches Build and maintain ML pipelines and data processing workflows Contribute to MLOps practices and infrastructure improvements Requirements Required Qualifications : Master's degree in Computer Science, Engineering, or related technical field 3+ years of hands-on ML engineering experience Demonstrated research experience (publications, research projects, or industrial research) Strong programming skills in Python and ML frameworks (PyTorch, JAX) Experience with latest transformer based architectures Knowledge of ML deployment and MLOps tools (Docker, MLflow, W&B, DVC) Nice to Have : ASR experience Reinforcement learning experience Experience with multi-modal models Knowledge of distributed training systems Open-source contributions Experience in a startup-like environment German proficiency is a plus Benefits Attractive compensation aligned with your skills Flexible work arrangements Professional development allowance Closing If you're passionate about Machine Learing and want to work with cutting-edge technologies, we'd love to hear from you! Location : Hamburg Employment Type : Full-time