Machine Learning Engineer

Qualcomm • Santa Clara, CA

4d

About The Position

Qualcomm is seeking a motivated and talented individual to join our team in Santa Clara. This role offers a unique opportunity to work on cutting-edge machine learning and data modeling projects and their hardware implementation. The ideal candidate will have a strong background in neural networks, autoencoders, decision trees, and other related techniques along with a basic understanding of their deployment on edge devices.

Requirements

• 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.
• 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.
• Master's degree in Electrical Engineering or related field and 4+ years of ASIC design, verification, or related work experience.
• PhD in Electrical Engineering or related field and 2+ 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.

Nice To Haves

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level