Machine Learning Engineer

4 weeks ago


Boston, Massachusetts, United States Analog Devices Full time

Unlock Your Potential as a Machine Learning Engineer at Analog Devices

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?

At Analog Devices, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts.

Key Responsibilities:

  • Assist in the design and implementation of algorithms, helping to structure, analyze, and leverage data for various applications.
  • Work with structured and unstructured data to help build models and perform statistical analysis.
  • Support the translation of machine learning models into code and their integration into systems.
  • Participate in the testing and debugging of machine learning algorithms to ensure efficiency and accuracy.
  • Help document processes for algorithm development, installation, and maintenance.

Requirements:

  • Currently pursuing a Bachelor's or Master's Degree in Computer Science, Data Science, or a related field.
  • Knowledge of programming languages such as Python or R for machine learning.
  • Familiarity with statistical techniques like decision trees, logistic regression, and Bayesian analysis.
  • Interest in data science, machine learning, and AI technologies.
  • Ability to work collaboratively with engineering teams and communicate technical concepts effectively.

About Analog Devices

ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.

At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.

Join Our Team

Apply now for the opportunity to grow your career and help innovate ahead of what's possible.



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