Key Responsibilities
- Develop and implement advanced machine learning models for scientific applications
- Collaborate with cross-functional teams to integrate AI solutions into scientific workflows
- Design experiments and analyze results to improve model performance
- Publish research findings in peer-reviewed journals and conferences
- Optimize algorithms for scalability and efficiency in high-performance computing environments
Requirements
- PhD or Master's degree in Computer Science, AI, or related field
- 3+ years of experience in machine learning research and development
- Strong programming skills in Python and familiarity with scientific computing libraries
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
- Publications in top-tier AI or scientific journals