Associate Machine Learning Engineer

Build and deploy machine learning solutions that support semiconductor advancements while working onsite in Boston.

Responsibilities

• Develop and implement machine learning models with independent ownership of ML tasks
• Perform feature engineering and data preprocessing to support model performance
• Evaluate models and carry out optimization to improve accuracy and effectiveness
• Contribute to development of machine learning pipelines
• Collaborate with data scientists and engineers as part of cross-functional delivery
• Support applications tied to signal processing, sensor data analysis, and edge computing

Requirements

• Python Programming: strong programming skills and ability to develop efficient, 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
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Experience: 2 to 5 years in machine learning or a related field

Technologies

• Python

Compensation

• Estimated annual salary: USD 121,600 - 167,200
• Expected wage range for a new hire: $121,600 to $167,200

Location and Work Mode

• Boston, MA
• Onsite

Benefits

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

Travel

• Yes, 10% of the time

Job Type

• Graduate Job