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Qualcomm
AI

Machine Learning Engineer

Qualcomm · Santa Clara, CA · $168k - $252k

Actively hiring Posted 4 months ago

Responsibilities

  • Explore and develop innovative modeling ideas for various datasets.
  • Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees etc.
  • Deployment of ML models on edge devices.
  • Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions.
  • Conduct experiments and analyze results to improve model performance.
  • Document and present findings to the team.
  • Master’s or PhD. in Computer Science, Electrical Engineering, or a related field.
  • Strong proficiency in Python programming.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with Generative AI
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team.

Basic qualifications

  • Bachelor's degree in Electrical Engineering with 3+ years of experience with designing RF/Analog circuits for wireless products (e.g., LNA's, PLL's) and 4+ years of ASIC design, verification, or related work experience.
  • 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS.

Preferred qualifications

  • Previous experience with real-world data modeling projects.
  • Deployment of ML models on edge devices.
  • Experience or knowledge of on-device algorithm development including hardware-aware ML models.
  • Familiarity with analog/RF circuits

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