Associate Machine Learning Engineer

Analog Devices is hiring an Associate Machine Learning Engineer in Boston, MA on an onsite basis. In this role, you will build and deploy machine learning models that support semiconductor solutions, working independently on ML projects while partnering with cross-functional teams.

What you’ll do

• Develop and implement machine learning models independently
• Apply feature engineering and data preprocessing to prepare datasets for training and validation
• Evaluate, assess, and optimize model performance
• Contribute to the development of machine learning pipelines
• Collaborate with data scientists and engineering teams to support project execution

What you bring

• Strong programming skills, with experience writing efficient and maintainable code using Python
• Experience implementing solutions with modern machine learning frameworks and tools (ML Frameworks)
• Ability to create effective data models and select appropriate preprocessing techniques (Data Modeling)
• Knowledge of methods for evaluating and optimizing machine learning model performance (Model Optimization)
• Understanding of ML deployment processes and pipeline development (Pipeline Development)
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 2 to 5 years of experience in machine learning or a related field

Location, schedule, and travel

• Location: Boston, MA (onsite)
• Travel: Yes, up to 10% of the time

Compensation and job level

• Job type: Graduate Job
• Expected wage range: USD 121,600 to 167,200 per year

Benefits

• Medical, vision and dental coverage
• 401k
• Paid vacation
• Holidays
• Sick time
• Discretionary performance-based bonus (based on personal and company factors)