Associate Machine Learning Engineer

About the role

Analog Devices (ADI) is hiring an Associate Machine Learning Engineer in Boston. You will develop and implement machine learning models that improve semiconductor solutions, working independently on ML projects while collaborating with cross-functional teams. The role applies ML expertise to real-world problems in signal processing, sensor data analysis and edge computing.

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

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science or a related field
• 2-5 years of experience in machine learning or a related field
• Strong Python programming skills, with efficient and maintainable code
• Experience implementing solutions with modern machine learning frameworks and tools
• Ability to build effective data models and apply preprocessing techniques
• Knowledge of methods to evaluate and optimize ML model performance
• Understanding of ML deployment processes and pipeline development

What we offer

• Expected wage range of $121,600 to $167,200 for new hires, with possible variation
• Discretionary performance-based bonus
• Medical, vision and dental coverage, 401k, paid vacation, holidays and sick time
• Continuous learning opportunities and mentorship

Travel is required about 10% of the time. Positions requiring access to technical data may require export licensing review, so non-US citizens and permanent residents may need to go through that process. Analog Devices is an equal opportunity employer.