Machine Learning Engineering

Job Overview

Location
Boston, United State
Job Type
Full Time
Date Posted
3 months ago

Additional Details

Job ID
25449
Job Views
56

Job Description

Key Responsibilities

  • Assist in the development and programming of machine learning algorithms for product and system optimization. 

  • 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. 

Skills You Will Need to Be Successful

  • 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. 

  • Strong problem-solving and analytical skills. 

  • Ability to work collaboratively with engineering teams and communicate technical concepts effectively. 

Minimum Qualifications

  • Currently pursuing a Bachelor’s or Master’s Degree in Computer Science, Data Science, or a related field. 

  • Interest in machine learning, data processing, and software development. 

  • Basic understanding of machine learning principles and statistical modeling. 

 

 

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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