... audio, and video. Modern techniques such as fine-tuning, parameter-efficient training, in-context ... D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software ...
... audio, and video. Modern techniques such as fine-tuning, parameter-efficient training, in-context ... D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software ...
ML Engineer (Speech-to-Speech) - Subject Matter Expert
Etobicoke, ON · Remote
$250/hr
Guide the development of transformer architectures for complex TTS model development Required Qualifications: * 5+ years of proven experience in machine learning development focused on audio ...
ML Engineer (Speech-to-Speech) - Subject Matter Expert
Etobicoke, ON · Remote
$250/hr
Guide the development of transformer architectures for complex TTS model development Required Qualifications: * 5+ years of proven experience in machine learning development focused on audio ...
Talent Acquisition Partner (R&D)
Toronto, ON · On-site
... audio, in-game, and digital out-of-home ads. We empower digitally focused companies to deliver ... Our R&D teams build scalable distributed systems, machine learning models, and high-performance ...
Talent Acquisition Partner (R&D)
Toronto, ON · On-site
... audio, in-game, and digital out-of-home ads. We empower digitally focused companies to deliver ... Our R&D teams build scalable distributed systems, machine learning models, and high-performance ...
AI & Machine Learning Mastery: Deep expertise in a wide range of AI/ML techniques, with a ... audio) data at scale. * Cloud Architecture: Extensive hands-on experience architecting and ...
AI & Machine Learning Mastery: Deep expertise in a wide range of AI/ML techniques, with a ... audio) data at scale. * Cloud Architecture: Extensive hands-on experience architecting and ...
Applications Software Developer
Waterloo, ON · Hybrid
CA$105K - CA$155K/yr
... audio subsystem, including audio focus, capture, routing, media/session behavior, and ... Understanding of embedded AI, on-device inference, Small Language Models, or edge Machine Learning ...
Applications Software Developer
Waterloo, ON · Hybrid
CA$105K - CA$155K/yr
... audio subsystem, including audio focus, capture, routing, media/session behavior, and ... Understanding of embedded AI, on-device inference, Small Language Models, or edge Machine Learning ...
Applications Software Developer
Waterloo, ON · Hybrid
CA$87K - CA$137K/yr
... audio subsystem, including audio focus, capture, routing, media/session behavior, and ... Understanding of embedded AI, on-device inference, Small Language Models, or edge Machine Learning ...
Applications Software Developer
Waterloo, ON · Hybrid
CA$87K - CA$137K/yr
... audio subsystem, including audio focus, capture, routing, media/session behavior, and ... Understanding of embedded AI, on-device inference, Small Language Models, or edge Machine Learning ...
Student Success Librarian (Librarian I; Contractually-Limited Term Appointment)
Mississauga, ON · On-site
It includes a Learning Commons, two smart classrooms, an audio-video recording studio, a ... machine learning and artificial intelligence applications within academic libraries Preferred ...
Student Success Librarian (Librarian I; Contractually-Limited Term Appointment)
Mississauga, ON · On-site
It includes a Learning Commons, two smart classrooms, an audio-video recording studio, a ... machine learning and artificial intelligence applications within academic libraries Preferred ...
AI & Machine Learning: Understanding various AI and ML techniques, including NLP, computer vision ... audio). * Cloud Computing: Hands-on experience with a major cloud platform (Google Cloud, or AWS)
AI & Machine Learning: Understanding various AI and ML techniques, including NLP, computer vision ... audio). * Cloud Computing: Hands-on experience with a major cloud platform (Google Cloud, or AWS)
2026 Intern - Research Scientist/Engineer
Toronto, ON · On-site
CA$45 - CA$61/hr
AI & Machine Learning * Computer Graphics (2D&3D) * Data Intelligence * Computer Vision, Imaging & Video * Audio * Systems and Languages * Natural Language Processing * Human Computer Interaction
2026 Intern - Research Scientist/Engineer
Toronto, ON · On-site
CA$45 - CA$61/hr
AI & Machine Learning * Computer Graphics (2D&3D) * Data Intelligence * Computer Vision, Imaging & Video * Audio * Systems and Languages * Natural Language Processing * Human Computer Interaction
DSP Engineer (Markham)
Markham, ON · On-site
Work experience related to machine learning (ML) inference model design and implementation * Knowledge of video/audio/RF signal processing and satellite signal communications * Proficiency in ...
Quick apply
DSP Engineer (Markham)
Markham, ON · On-site
Work experience related to machine learning (ML) inference model design and implementation * Knowledge of video/audio/RF signal processing and satellite signal communications * Proficiency in ...
Associate Data Scientist - User Fraud
Toronto, ON · On-site
CA$61K - CA$87K/yr
You'll help us expand detection and mitigation methods against abuse across all audio verticals on ... You'll work with a team of data scientists and machine learning engineers to detect and prevent ...
Associate Data Scientist - User Fraud
Toronto, ON · On-site
CA$61K - CA$87K/yr
You'll help us expand detection and mitigation methods against abuse across all audio verticals on ... You'll work with a team of data scientists and machine learning engineers to detect and prevent ...
... audio-visual, data and geospatial materials. UTL also boasts impressive holdings of archival ... Demonstrated familiarity with AI, machine learning, or data-driven technologies Preferred ...
... audio-visual, data and geospatial materials. UTL also boasts impressive holdings of archival ... Demonstrated familiarity with AI, machine learning, or data-driven technologies Preferred ...
The CONNECT Learning system provides a platform for online learning and sharing of ideas to ... Basic knowledge of tools such as HTML, streaming audio, video, compression methods, file types and ...
The CONNECT Learning system provides a platform for online learning and sharing of ideas to ... Basic knowledge of tools such as HTML, streaming audio, video, compression methods, file types and ...
Audio Machine Learning information
See Ontario salary details
$21.5K - $39K
17% of jobs
$50.9K is the 25th percentile. Wages below this are outliers.
$39K - $56.5K
12% of jobs
$56.5K - $74K
6% of jobs
$74K - $91.5K
6% of jobs
The median wage is $109K / yr.
$91.5K - $109K
9% of jobs
$109K - $126.5K
10% of jobs
$126.5K - $144K
11% of jobs
$151.2K is the 75th percentile. Wages above this are outliers.
$144K - $161.5K
12% of jobs
$161.5K - $179K
9% of jobs
$179K - $196.5K
6% of jobs
$196.5K - $214K
3% of jobs
$21.5K
$111.9K
$214K
How much do audio machine learning jobs pay per year?
What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?
To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.
What are the typical daily responsibilities of someone working in Audio Machine Learning?
Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
What is an Audio Machine Learning job?
An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

CA$239.47/hr
Part-time
PTO
Posted 14 days ago
Job description
Posting Reason:
New PositionLocation:
Main CampusAcademic Period:
2026 Fall SemesterFaculty:
Faculte de genie / Faculty of EngineeringAcademic Unit:
Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching InnovationCourse Title:
Generative AI and Large Language ModelsCourse Code:
MIA5150Section:
ACourse Description:
Foundations and practices of Generative AI and Large Language Models (LLMs), covering the full lifecycle from model development to deployment. Explore generative model families, including Transformers, autoregressive models, diffusion models, GANs, and VAEs, and their multimodal applications across text, image, audio, and video. Modern techniques such as fine-tuning, parameter-efficient training, in-context learning, contrastive learning, retrieval-augmented generation (RAG), and multi-agent systems for enabling complex reasoning, coordination, and autonomous task execution are discussed. Key practices in prompt engineering, inference optimization, safety and alignment, and responsible AI deployment. Practical applications across diverse domains.Prerequisite: MIA5100, MIA5126 or equivalent.
Posting limited to:
Professeur a temps-partiel regulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/05/26Applications must be received BEFORE (YYYY/MM/DD):
2026/06/27Expected Enrolment:
30Approval date:
2026/05/26Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
BPosting type:
Regulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
ActiveCourse Schedule:
Vendredi | Friday 19:00-22:00 - -Requirements:
- Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, DTI, Engineering, or a closely related field.
- Demonstrated expertise in Generative AI and Large Language Models (LLMs), including areas such as Transformers, diffusion models, GANs, VAEs, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and multimodal AI systems.
- Experience developing or applying modern AI/ML workflows using industry-standard tools and frameworks such as Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, vector databases, and cloud-based AI platforms.
- Knowledge of AI deployment practices, including inference optimization, parameter-efficient training, model evaluation, safety, alignment, responsible AI, and scalable deployment architectures.
- Knowledge of emerging agentic AI systems and multi-agent orchestration frameworks for autonomous reasoning, planning, and task execution.
- Teaching experience at the graduate/undergraduate level in Artificial Intelligence, Machine Learning, Data Science, or related disciplines
- Demonstrated ability to translate complex AI concepts into applied, industry-relevant learning experiences through lectures, labs, projects, and case studies.
- Relevant industry experience in AI/ML development, applied Generative AI, MLOps, or AI product development is considered an asset.
Additional Information and/or Comments:
The course is onlineAn acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.