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Audio Machine Learning Intern Jobs in Toronto, ON

The intern will be fully involved in the Process Engineering department of the Fusion ... Proficiency in machine learning and applications of AI. GMP awareness: Familiarity with Good ...

New

The intern will be fully involved in the Process Engineering department of the Fusion ... Proficiency in machine learning and applications of AI. GMP awareness: Familiarity with Good ...

New

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

Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog. Qualifications:

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

Showing results 41-60

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?

For Audio Machine Learning Intern jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning Intern jobs in Toronto, ON look for?

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

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.

Data Analytics Intern, Winter 2027 (Co-op/Internship) - 8 months

Toronto, ON • On-site

CA$55K - CA$115K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


Job description

Application Deadline:

09/20/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do.You will have the opportunity to participate in programs such as the Women in Banking Mentorship Program, BMO Social Squad student-led activities, BMO Academy learning platform and access to various Employee Resource Groups to further develop your network within BMO.

Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @bmocanada | @bmo_us and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Focus may be on a business/group.
  • Thinks creatively and proposes new solutions.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works mostly independently.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Intermediate level of proficiency:

  • Commercial astuteness.
  • Technology Transformation.
  • Learning Agility.
  • Emotional Agility.
  • Change Management.
  • Systems thinking.
  • Design leadership and executive alignment.
  • Stakeholder management.
  • Value Realization (Architecting & Tracking).
  • Driving outcomes.

Advanced level of proficiency:

  • Continuous process improvement.
  • Building and managing relationships.
  • Agile Frameworks and Practices.
  • Purpose and strategy alignment.
  • Coaching and Mentoring.
  • Facilitation Skills.
  • Verbal & written communication skills.
  • Analytical and problem solving skills.
  • Influence skills.
  • Collaboration & team skills.
  • Data driven decision making.
  • As a full-time employee, we would require 2-3 years of relevant experience, however as part of the BMO Campus program, we are looking for motivated individuals with a strong desire to learn.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary:

$55,000.00 - $115,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.