At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Basic Requirements:
Educational BackgroundPursuing 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 SkillsProficiency 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 & CollaborationAbility 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.
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