Machine Learning Engineer
Actively Hiring
Full-time $168k - $252k Posted 5 months ago
Responsibilities
- check_circle Explore and develop innovative modeling ideas for various datasets.
- check_circle Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees etc.
- check_circle Deployment of ML models on edge devices.
- check_circle Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions.
- check_circle Conduct experiments and analyze results to improve model performance.
- check_circle Document and present findings to the team.
- check_circle Master’s or PhD. in Computer Science, Electrical Engineering, or a related field.
- check_circle Strong proficiency in Python programming.
- check_circle Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- check_circle Experience with Generative AI
- check_circle Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- check_circle Excellent problem-solving skills and attention to detail.
- check_circle 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
Tags & Focus Areas
Fulltime Machine Learning Deep Learning Ai
About Qualcomm
Company: Qualcomm Canada ULC Job Area: Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in deep learning, to join a high-caliber team of engineers inventing machine learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation. Minimum Qualifications: - Master's degree in Computer Engineering, Computer Science, Electrical Engineeri...