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AI / Machine Learning Engineering Intern

AI / Machine Learning Engineering Intern

QorvoRichardson, TX, US
30+ days ago
Job type
  • Full-time
Job description

Responsibilities

may include :

  • Data Collection and Preprocessing : Gather and preprocess RF circuit data, including simulations, measurements, and real-world performance data.
  • Feature Engineering : Identify relevant features and parameters for RF circuit analysis and design machine learning models to extract these features from raw data.
  • Model Development : Create and train AI / ML models for RF circuit analysis, including predictive modeling, anomaly detection, and optimization algorithms.
  • Algorithm Implementation : Implement AI / ML algorithms and integrate them into existing RF circuit analysis tools and workflows.
  • Performance Evaluation : Evaluate the performance of AI / ML models and algorithms through extensive testing, validation, and benchmarking against traditional methods.
  • Collaboration : Collaborate with RF engineers, software developers, and other cross-functional teams to ensure seamless integration of AI / ML solutions into RF circuit design and analysis processes.
  • Documentation : Document your work, including algorithms, methodologies, and results, to facilitate knowledge sharing and future improvements.

Qualifications :

  • Currently enrolled in a graduate-level program in AI / ML
  • Strong background in AI / ML, including experience with TinyML and embedded applications
  • Knowledge of RF circuits and familiarity with simulation tools (e.g., Cadence, ADS, HFSS) is a plus.
  • Strong problem-solving skills and the ability to work independently and collaboratively in a team.
  • Excellent communication skills and the ability to present findings and results effectively.