AI Intern (Summer 2025)

Qualifications

• Currently pursuing BS or MS in CS, AI, ML or related field (Major in any of these streams)

• Relevant coursework or research experience in developing neural network models

• Proficient with python and familiar with TensorFlow, PyTorch or any popular ML Libraries

• Strong problem-solving abilities and communication skills

• Passionate about AI research and hands-on learning

Responsibilities

• Reviewing academic papers to keep up the latest innovations

• Developing, implementing, and testing NN models and algorithms

• Training neural network models and tracking performance metrics

• Writing python scrips to automate experiments

• Documenting experiments thoroughly to enable knowledge sharing

• Collaborating closely with team members across engineering departments

Full Description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

AI Intern (Summer 2025)

Role

We are looking for an AI intern to work closely with our team of engineers to advance the state of the art in neural networks for speech and audio applications.

If you love investigating new ideas and coding up prototypes, this is the internship for you.

Responsibilities Include

• Reviewing academic papers to keep up the latest innovations.

• Developing, implementing, and testing NN models and algorithms.

• Training neural network models and tracking performance metrics.

• Writing python scrips to automate experiments.

• Documenting experiments thoroughly to enable knowledge sharing.

• Collaborating closely with team members across engineering departments.

Requirements

• Currently pursuing BS or MS in CS, AI, ML or related field (Major in any of these streams).

• Relevant coursework or research experience in developing neural network models.

• Proficient with python and familiar with TensorFlow, PyTorch or any popular ML Libraries.

• Strong problem-solving abilities and communication skills.

• Passionate about AI research and hands-on learning.

We’re doing work that matters.

Help us solve what others can’t.