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Audio Machine Learning Intern Jobs in Toronto, ON

Manulife

Summer Intern 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

Build and evaluate machine learning models using a range of techniques, with thoughtful experiment design and documentation * Support feature engineering, model development, and performance ...

Advanced Micro Devices, Inc

As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts ... Interest or experience in Machine Learning. * ASIC design * Knowledge of Ruby on Rails and MySQL

Advanced Micro Devices, Inc

As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts ... Interest or experience in Machine Learning. * ASIC design * Knowledge of Ruby on Rails and MySQL

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

Td

Data Science Intern/Co-op (WINTER 2027)

Toronto, ON · On-site

CA$45K - CA$74K/yr

Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to ... Support the development of AI, machine learning, data science, and advanced analytics solutions

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All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Toronto, ON

Audio Machine Learning Intern information

What does an audio machine learning intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an audio machine learning intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an audio machine learning intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

What are popular job titles related to Audio Machine Learning Intern jobs in Toronto, ON?

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The top searched job categories for Audio Machine Learning Intern jobs in Toronto, ON are:

Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Toronto, ON as of June 2026, with employment types broken down into 2% As Needed, 59% Full Time, 32% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.

Sales Systems & Data Governance Intern (Winter/January 2027, 8-12 Months)

Oakville, ON • On-site

Internship List
See more jobs at Internship Listexternal

Full-time, Internship

Posted 9 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Sales Systems & Data Governance intern who will work on data cleansing, data governance and updating records in Salesforce. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Sales Systems & Data Governance Intern, your key area of responsibility will be to synchronize and update data from Geotab's internal systems to Salesforce records, assisting with data cleansing and data governance activities. You will need to work closely with Geotab's Revenue Operations teams. 

To be successful in this role you will have a strong work ethic, an eagerness to jump in and help fix things, strong communication skills and a positive attitude. In addition, the successful candidate will have strong proficiency in Google Workspace, experience using CRM systems, and strong analytical skills with the ability to identify patterns and discrepancies. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity:
  • 8 - 12 month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Data cleansing and Salesforce system updates to support data integrity and revenue operations
  • Build intelligent dashboards and reports in Salesforce to drive sales insights and forecasting
  • Audit and standardize existing sales processes, workflows, and system configurations
  • Identify areas for process improvement and collaborate with developers and stakeholders to implement solutions
  • Maintain up-to-date documentation for processes, training materials, and system configurations
  • Leverage AI tooling - or demonstrate a strong willingness to learn - to automate tasks, surface insights, and increase team productivity
What you'll bring to the role:
  • Completing a Bachelor's degree in Business Administration or related field.
  • Organized, detail-oriented, and able to effectively multi-task.
  • Ability to work collaboratively in a team environment.
  • Excellent writing and communication skills.
  • Familiar with G Suite / MS Office Suite: Docs/MS Word: Formatting and Styles, Sheets/MS Excel: Formatting tables.
  • Demonstrates good judgment, effective problem solving and can prioritize tasks appropriately.
  • Strong analytical and project management skills.
  • Self-motivated to complete work.
  • Strong time management skills and ability to work with strict deadlines.
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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