Analog Devices-posted 4 months ago
Full-time • Entry Level
Boston, MA
5,001-10,000 employees

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.

  • 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
  • Strong programming skills with proficiency in Python
  • Experience implementing solutions using modern machine learning frameworks and tools
  • Ability to create effective data models and apply appropriate preprocessing techniques
  • Knowledge of methods to evaluate and optimize ML model performance
  • Understanding of ML deployment processes and pipeline development
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 0-2 years of experience in machine learning or related field
  • Supportive environment focused on professional growth
  • Competitive compensation and benefits
  • Work-life balance
  • Continuous learning opportunities
  • Mentorship from industry experts
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