Associate Machine Learning Engineer
About the role
As a Machine Learning Engineer at Analog Devices, you will play a key role in developing and implementing machine learning models that enhance our semiconductor solutions. You will work independently on ML projects while collaborating with cross-functional teams to deliver innovative solutions. This position offers the opportunity to apply your ML expertise to solve real-world problems in signal processing, sensor data analysis, and edge computing applications. This is a graduate-level role with approximately 10% travel required.
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
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 2-5 years of experience in machine learning or related field
Skills
- 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
Benefits
- Medical, vision and dental coverage
- 401k
- Paid vacation, holidays, and sick time
- Other benefits
Pay
The expected wage range for a new hire into this position is $121,600 to $167,200. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus based on personal and company factors.