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.
- Strongfoundation 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.
Were doing work that matters. Help us solve what others cant.
Required Experience:
Intern
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.Strongfoundation in machine learning de...
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.
- Strongfoundation 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.
Were doing work that matters. Help us solve what others cant.
Required Experience:
Intern
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