How do you help machine learning teams innovate faster without compromising trust? By building the platform that enables them to experiment, validate, and deploy models with confidence. As part of ...
How do you help machine learning teams innovate faster without compromising trust? By building the platform that enables them to experiment, validate, and deploy models with confidence. As part of ...
AI scientist for Quantum Computing
Montreal, QC · On-site +1
You will develop and evaluate machine-learning approaches for quantum computing, covering both: * AI for quantum systems , including calibration, control, decoding for quantum error correction ...
AI scientist for Quantum Computing
Montreal, QC · On-site +1
You will develop and evaluate machine-learning approaches for quantum computing, covering both: * AI for quantum systems , including calibration, control, decoding for quantum error correction ...
You will develop and evaluate machine-learning approaches for quantum computing, covering both: * AI for quantum systems , including calibration, control, decoding for quantum error correction ...
Quick apply
You will develop and evaluate machine-learning approaches for quantum computing, covering both: * AI for quantum systems , including calibration, control, decoding for quantum error correction ...
Chercheur ou chercheuse scientifique en apprentissage automatique (Machine Learning)
Montreal, QC · On-site
A propos de Valence Labs Valence Labs est le moteur de recherche de pointe en IA de Recursion. Nous dirigeons des programmes de recherche a fort impact concus pour accroitre concretement la capacite ...
Chercheur ou chercheuse scientifique en apprentissage automatique (Machine Learning)
Montreal, QC · On-site
A propos de Valence Labs Valence Labs est le moteur de recherche de pointe en IA de Recursion. Nous dirigeons des programmes de recherche a fort impact concus pour accroitre concretement la capacite ...
As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...
As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...
Senior Data Scientist - Computer Vision
Montreal, QC · On-site +1
As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training ...
Senior Data Scientist - Computer Vision
Montreal, QC · On-site +1
As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training ...
Geodata Scientist
Montreal, QC · Remote
Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services. * Assist in developing ...
Geodata Scientist
Montreal, QC · Remote
Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services. * Assist in developing ...
Expérience avec des projets de Machine Learning (atout fort)
Expérience avec des projets de Machine Learning (atout fort)
... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de données (architecture medallion) et contribuerez activement à bâtir une plateforme robuste ...
... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de données (architecture medallion) et contribuerez activement à bâtir une plateforme robuste ...
Expérience avec des projets de Machine Learning (atout fort)
Expérience avec des projets de Machine Learning (atout fort)
The ideal candidate will combine strong expertise in machine learning, statistical modeling, experimentation, and business problem solving with the ability to translate complex enterprise challenges ...
The ideal candidate will combine strong expertise in machine learning, statistical modeling, experimentation, and business problem solving with the ability to translate complex enterprise challenges ...
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Data internship, Fall 2026
Levis, QC · Hybrid
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Data internship, Fall 2026
Levis, QC · Hybrid
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Your role Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage Lead, develop ...
Your role Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage Lead, develop ...
Provide independent validation and effective challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness ...
Provide independent validation and effective challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness ...
Data Scientist
Montreal, QC · On-site
Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts. * Plan and execute analytical experiments to help solve business problems.
Data Scientist
Montreal, QC · On-site
Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts. * Plan and execute analytical experiments to help solve business problems.
What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning? Are you curious about the systems that power information retrieval, index querying ...
What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning? Are you curious about the systems that power information retrieval, index querying ...
Expert Data Science Developer
Montreal, QC · On-site +1
D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You have at least 5 years of relevant experience in data science or a similar role. * You have strong ...
Expert Data Science Developer
Montreal, QC · On-site +1
D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You have at least 5 years of relevant experience in data science or a similar role. * You have strong ...
What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning? Are you curious about the systems that power information retrieval, index querying ...
Quick apply
What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning? Are you curious about the systems that power information retrieval, index querying ...
Machine Learning information
See Quebec salary details
$108K - $116K
13% of jobs
$116K - $124K
7% of jobs
$127.8K is the 25th percentile. Wages below this are outliers.
$124K - $132K
11% of jobs
$132K - $140K
12% of jobs
The median wage is $146K / yr.
$140K - $148K
11% of jobs
$148K - $156K
1% of jobs
$156K - $164K
0% of jobs
$164K - $172K
0% of jobs
$172K - $180K
11% of jobs
$184.8K is the 75th percentile. Wages above this are outliers.
$180K - $188K
18% of jobs
$188K - $196K
18% of jobs
$108K
$157.7K
$196K
How much do machine learning jobs pay per year?
As of Jul 17, 2026, the average yearly pay for machine learning in Quebec is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.
What engineer makes $500,000 a year?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.
What is a Machine Learning job?
A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.
What are some typical day-to-day responsibilities in a Machine Learning role?
As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What jobs can I get with machine learning?
With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.
What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?
To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.
Which 3 jobs will survive AI?
Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
Other
Posted 13 days ago
Job description
Build the platform that turns machine learning experimentation into production-ready confidence.
How do you help machine learning teams innovate faster without compromising trust? By building the platform that enables them to experiment, validate, and deploy models with confidence. As part of our Machine Learning Experimentation & Model Validation team, you'll design the tools and infrastructure that accelerate innovation while ensuring rigorous validation before production deployment.
At the intersection of backend development, cloud infrastructure, and machine learning, you'll build services and tooling that make experimentation reproducible, validation reliable, and model deployment seamless. Working alongside an experienced team, you'll help bridge the gap between experimentation and production by delivering practical solutions that drive impact across Coveo.
As one of our Senior Backend Software Developers, ML Platform, you will:- Design, build, and evolve backend services and tooling that support the entire machine learning development lifecycle.
- Develop cloud-native infrastructure and automation using Python, Amazon Web Services (AWS), Terraform, and continuous integration and continuous delivery (CI/CD) practices.
- Partner directly with machine learning engineers and data scientists to understand their workflows, identify friction points, and deliver impactful improvements.
- Integrate and maintain modern machine learning tooling, including systems such as SageMaker Studio and MLflow, while continuously improving the platform's developer experience.
- Balance technical excellence with product thinking by making thoughtful trade-offs that maximize value for internal users.
- Contribute to a collaborative engineering culture by sharing knowledge, providing technical leadership, and driving continuous improvement across the team.
- Professional experience building backend applications in Python, along with strong experience developing cloud-native solutions using Amazon Web Services (AWS).
- Experience building or maintaining machine learning platforms, MLOps tooling, or infrastructure that supports machine learning workflows.
- Strong understanding of infrastructure as code using Terraform and modern continuous integration and continuous delivery (CI/CD) practices.
- Demonstrated ability to work autonomously, communicate effectively with technical stakeholders, and influence decisions through collaboration and pragmatism.
- Experience integrating or supporting platforms such as SageMaker Studio or similar machine learning tooling.
- Familiarity with Java or experience working in polyglot engineering environments.
- Previous experience as a machine learning engineer or data scientist with a passion for building developer tooling.
- A strong product mindset with a genuine interest in improving user experience through thoughtful engineering decisions.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.