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Internship

Intern, Machine Learning Researcher

🚀 Off-cycle Internship

Frederick

AI generated summary

  • You must be enrolled in a Bachelor's program in Engineering. Proficient in statistical analysis, report writing, data visualization, and machine learning tools. Strong knowledge in Python, data mining, AWS, ML models. Experience with NLP and deep learning is a plus.
  • You will research, develop, and prototype machine learning systems and algorithms for next-gen mobile networks. Communicate with teams and determine approaches effectively.

Off-cycle Internship

Data•Frederick

Description

Spirent is seeking a Machine Learning Researcher. As a machine learning researcher, you will have the opportunity to guide the team to achieve their potential and develop the newest technologies in 5G using Artificial Intelligence and Machine Learning. You will learn skills that help expand your growth through:

  • Developing, designing, adapting, prototyping, and implementing code, supervised and unsupervised machine learning, and advanced statistical algorithms. 
  • Evaluating and recommending approaches to various data analytics problems. Analyzing and evaluating data sets for both insights into the data and usability of machine learning applications. 
  • Conditions data for analysis and works with large-scale structured and unstructured data. 
  • Creates data pipelines and works with large-scale, distributed computing and storage platforms. 
  • Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance.

Requirements

  • Enrolled in a Bachelor's degree program, in Electrical/Telecom/Computer Engineering from an accredited university or equivalent work experience.
  • Knowledge of common statistical data analysis methods is highly desired. Proficiency with analytical tools.
  • Design and deliver reports for mobile audio/data/video performance. Address stakeholder technical objectives and characterize system capabilities and risk areas. Assessment reports typically include textual explanations, data tables, data charts, and supporting visual images. These reports document progress toward achieving technical objectives or highlight notable technical risk areas.
  • Build analytical frameworks, analyze complex data, and visualize/present key business insights in concise, easily digestible data-driven insights to our customers in different functions and at different levels.
  • Experience in Data mining & machine learning Pandans, Numpy, SciKit-Learn, cv2, PCL, Tensor flow and Keras, Pytorch, Keras, SQL, amazon AWS Lambda, amazon EFS is plus.
  • Machine Learning Models ANN, CNN, RNN (LSTM), SVM, DT, Regression, clustering methods, NLP understanding are a plus.
  • Experience in Python is desired.

Education requirements

Currently Studying
Bachelors

Area of Responsibilities

Data

Responsibilities

  • Research and develop machine learning systems for model training and inference.
  • Research and develop new ML algorithms for next-generation mobile and wireless networks.
  • Prototype new ideas and technologies to create a proof of concept (PoC) and demos.
  • Effectively communicate with global product engineering teams and standardization teams.
  • Determines and develops approaches to assignments.

Details

Work type

Full time

Work mode

hybrid

Location

Frederick