Machine Learning Engineer

• 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.

Do you have a Master's degree?, 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., * 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., * 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

How to Apply : Interested candidates should submit their resume and a cover letter detailing their relevant experience and interest in the position., * 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. OR 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits : $168,600.00 - $252,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .