Associate Machine Learning Engineer

Analog Devices•Boston, MA
•$121,600 - $167,200•Hybrid

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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.

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

Benefits

  • competitive compensation and benefits
  • work-life balance
  • continuous learning opportunities
  • mentorship from industry experts
  • medical, vision and dental coverage
  • 401k
  • paid vacation
  • holidays
  • sick time
  • discretionary performance-based bonus
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