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 field3+ years of hands-on ML engineering experienceDemonstrated research experience (publications, research projects, or industrial research)Strong programming skills in Python and ML frameworks (PyTorch, JAX)Experience with latest transformer based architecturesKnowledge of ML deployment and MLOps tools (Docker, MLflow, W&B, DVC)Nice to Have :
ASR experienceReinforcement learning experienceExperience with multi-modal modelsKnowledge of distributed training systemsOpen-source contributionsExperience in a startup-like environmentGerman proficiency is a plusBenefits
Attractive compensation aligned with your skillsFlexible work arrangementsProfessional development allowanceIf you're passionate about Machine Learning and want to work with cutting-edge technologies, we'd love to hear from you!
Location : Hamburg Employment Type : Full-time
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