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.
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)