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Intern Google Rf Engineer Jobs in Toronto, ON (NOW HIRING)

Bits In Glass

Intern

Toronto, ON · On-site +1

Remote/Hybrid Description As a ML Developer Intern you will work closely with the ML Developers and ... Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML ...

Vosyn

WordPress Developer - Internship

Etobicoke, ON · On-site +1

$32/hr

For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead ... Use tools like Google Analytics to monitor website performance, track user engagement, and provide ...

All JobsIntern Google Rf Engineer JobsIntern Google Rf Engineer Jobs in Toronto, ON

Intern Google Rf Engineer information

What does an Intern Google RF Engineer do?

An Intern Google RF (Radio Frequency) Engineer typically assists in designing, testing, and optimizing wireless communication systems and hardware. Their responsibilities may include conducting RF measurements, analyzing signal data, supporting prototype development, and collaborating with teams to solve technical challenges. Interns often work under the guidance of senior engineers, gaining hands-on experience with cutting-edge wireless technologies used in Google products. This role helps interns develop skills in RF circuit design, simulation tools, and troubleshooting techniques relevant to the telecommunications industry.

What types of projects and responsibilities can an Intern Google RF Engineer expect during their internship?

As an Intern Google RF Engineer, you can expect to work on real-world wireless communication projects, such as assisting with the design, testing, and optimization of radio frequency systems used in Google devices and infrastructure. Interns often collaborate closely with experienced RF engineers, hardware teams, and software developers to analyze signal performance, conduct lab measurements, and troubleshoot RF issues. You'll likely use industry-standard tools and simulation software, gaining hands-on experience and exposure to the latest wireless technologies. This collaborative and fast-paced environment provides valuable opportunities to learn, contribute to impactful projects, and build a strong technical foundation for a career in RF engineering.

What are the key skills and qualifications needed to thrive as an Intern Google RF Engineer, and why are they important?

To thrive as an Intern Google RF Engineer, you need a solid understanding of radio frequency theory, signal processing, and wireless communication fundamentals, typically supported by coursework in electrical engineering or a related field. Familiarity with RF design tools like MATLAB, ADS, and network analyzers, as well as experience with simulation and measurement systems, is often required. Strong analytical thinking, problem-solving abilities, and effective teamwork are valuable soft skills for this role. These skills and qualities are critical for addressing complex RF challenges and contributing to innovative wireless solutions in a collaborative environment.

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Intern Google Rf Engineer jobs near you
Infographic showing various Intern Google Rf Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution.

Intern

Toronto, ON • On-site, Remote

Bits In Glass
See more jobs at Bits In Glassexternal

Internship

Posted 5 days ago

Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

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