At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Basic Requirements:
Educational Background
- Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field.
- Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.
Technical Skills
- Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
- Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
- Comfortable working with LLM APIs and integrating them into applications.
- A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
- Proficiency in Python is essential. C++ also valuable.
Problem-Solving & Collaboration
- Ability to work in a fast-paced research and development environment.
- Strong analytical thinking and debugging skills.
- Experience with rapid prototyping in open-source AI/ML projects.