The responsibilities for this position include, but not limited to,
- Understand and derive the algorithm from latest literatures and/orconferences.
- Implement the state-of-art Deep Learning or GenAImodels.
- Design and/or Improve models for a specificapplication.
- Design new Deep Learning modules.
- Optimize and tune a Deep Learning Model.
- Evaluate and validate the performance of deep learningmodels.
- Perform A/B Test betweenmodels.
- Communicate idea/finding to teammembers.
Qualifications/EducationDesired
- PhD (strongly preferred) OR Master's Level Degree candidate graduating in one year, in Electrical Engineering, Computer Science or related quantitative fields.
- Machine Learning/Deep Learning publication(e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.)is required.
- Experience on DL/GenAI Foundation modeling is required.
- Proficiency in Python.
- Proficiency in at least one Deep Learning framework - e.g., PyTorch, TensorFlow, JAX, PaddlePaddle or equivalent.
Minimum Qualifications
- Students working towards a PhD (preferred) or MS Level Degree.