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# Machine Learning Engineer

- **Company:** Analog Devices
- **Location:** Boston, United States
- **Experience:** Experienced
- **Salary:** $121,600.0 - $167,200.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Program Optimization, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Signal Processing, Feature Engineering, Model Validation, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/associate-machine-learning-engineer-1120-ad-spain-10171105

## About the Role

* 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

Preferred Education and Experience

 * 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.

## Description

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. Key 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


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