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Internship Verizon Rf Engineer Jobs in Massachusetts

1910

AI Research Scientist I

Boston, MA · On-site

A strong understanding of statistics and classical machine learning methods (SVM, RF, etc ... Familiarity with MLOps and DevOps best practices * Exposure to distributed computing (Microsoft ...

1910

AI Research Scientist I

Boston, MA · On-site

... SVM, RF, etc.) • Experience training and deploying cutting edge deep learning methods ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

1910

AI Research Scientist I

Boston, MA · On-site

... SVM, RF, etc.) • Experience training and deploying cutting edge deep learning methods ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

1910

AI Research Scientist I

Boston, MA · On-site

... SVM, RF, etc.) • Experience training and deploying cutting edge deep learning methods ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

1910

AI Research Scientist I

Boston, MA · On-site

... SVM, RF, etc.) • Experience training and deploying cutting edge deep learning methods ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

1910

AI Research Scientist I

Boston, MA · On-site

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 

1910

AI Research Scientist I

Boston, MA · On-site

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.

NorthEastern

Research Scientist

Burlington, MA · On-site

The R&D Engineer is expected to work as part of a multi-disciplinary team and contribute to the ... Experience contributing to government, defense, or securityrelated R&D programs (internships ...

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Internship Verizon Rf Engineer information

What does an RF engineer intern at Verizon do?

An Internship Verizon RF Engineer assists senior engineers with the design, optimization, and maintenance of Verizon's wireless networks. Interns analyze network coverage, conduct drive tests, troubleshoot issues, and help implement solutions to improve signal quality and capacity. They often use specialized software to model radio frequency propagation and support the deployment of new technologies. This role provides hands-on experience in the telecommunications industry and helps interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as an RF engineer intern at Verizon, and why are they important?

To thrive as an Internship Verizon RF Engineer, you need a foundational understanding of radio frequency (RF) engineering principles, wireless communication, and basic networking, usually supported by coursework in electrical or telecommunications engineering. Familiarity with RF design and analysis tools like Atoll, TEMS, or MATLAB, and proficiency with Excel and data analysis platforms, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns successfully collaborate and solve real-world network challenges. These skills are critical for supporting network optimization, troubleshooting, and ensuring reliable wireless service delivery.

What types of projects and responsibilities can I expect as an RF engineer intern at Verizon?

As an RF Engineer intern at Verizon, you can expect to work on projects related to wireless network optimization, drive testing, and troubleshooting radio frequency issues. Your daily tasks may include analyzing network performance data, assisting with site surveys, and collaborating with senior engineers to enhance coverage and capacity. You'll also gain hands-on experience with RF planning tools and may participate in cross-functional meetings with network operations and deployment teams. This exposure provides valuable insights into real-world wireless network operations and helps build foundational skills for a career in telecommunications.

What is the difference between Internship Verizon Rf Engineer vs Verizon Rf Engineer?

AspectInternship Verizon Rf EngineerVerizon Rf Engineer
Required CredentialsTypically pursuing or recently completed a degree in Electrical Engineering or related fieldBachelor's or higher in Electrical Engineering, with relevant certifications preferred
Work EnvironmentInternship setting, supervised, focused on learning and support tasksFull-time professional role, responsible for design, deployment, and maintenance of RF networks
Employer & Industry UsageInternship programs offered by Verizon, aimed at students gaining industry experienceFull-time employment within Verizon, involved in operational and strategic RF projects

The main difference between Internship Verizon Rf Engineer and Verizon Rf Engineer lies in experience level and responsibilities. Internships are designed for students or recent graduates to gain industry exposure, while Verizon Rf Engineers are full-time professionals managing RF network development and maintenance.

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Internship Verizon Rf Engineer jobs near you

AI Research Scientist I

1910

Boston, MA • On-site

Full-time

Re-posted 18 days ago

Job description

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.  

Role Description 

  • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline 
  • Apply productized AI and Machine Learning models to advance 1910's active drug design campaignswith the support of senior members of the AI Research Team  
  • Write and publish peer reviewed scientific articleswith the support of senior members of the AI Research Team 
  • Periodically presenting recent AI research at internal journal clubs 
  • Learn how a molecule processes through the drug discovery process 
  • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  
  • Keep up-to-date on cutting-edge research in the AI for drug discovery space 

Qualifications 

  • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
  • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
  • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories. 
  • Familiarity with MLOps and DevOps best practices 
  • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.) 
  • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 
  • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

Nice to Haves 

  • An understanding of how a molecule progresses through the drug discovery process 
  • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) 

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