Analog Devices is looking to develop and implement machine learning models to enhance their semiconductor solutions, specifically in signal processing, sensor data analysis, and edge computing applications.
Requirements
- Python Programming: Strong programming skills with proficiency in developing efficient and maintainable code
- ML Frameworks: Experience implementing solutions using modern machine learning frameworks and tools
- Data Modeling: Ability to create effective data models and apply appropriate preprocessing techniques
- Model Optimization: Knowledge of methods to evaluate and optimize ML model performance
- Pipeline Development: Understanding of ML deployment processes and pipeline development
Responsibilities
- Develop and implement ML models independently
- Perform feature engineering and data preprocessing
- Conduct model evaluation and optimization
- Contribute to ML pipeline development
- Collaborate with data scientists and engineers
Other
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 0-2 years of experience in machine learning or related field
- US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) may not require export licensing review process
- Required Travel: None specified
- Shift Type: None specified
