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 ...
... Machine Learning systems * Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable. * Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS ...
... Machine Learning systems * Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable. * Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS ...
... Machine Learning systems * Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable. * Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS ...
... Machine Learning systems * Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable. * Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS ...
Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...
Quick apply
Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...
Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...
Quick apply
Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...
Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train ...
Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train ...
We are seeking a Senior Machine Learning (ML) Developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product ...
We are seeking a Senior Machine Learning (ML) Developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product ...
Senior Data Scientist
Montreal, QC · On-site
Design, develop, and validate machine learning models, predictive models, and advanced analytical solutions * Perform exploratory data analysis, feature engineering, and model performance evaluation
Senior Data Scientist
Montreal, QC · On-site
Design, develop, and validate machine learning models, predictive models, and advanced analytical solutions * Perform exploratory data analysis, feature engineering, and model performance evaluation
In this highly visible role, you will have the opportunity to work with world-class engineers and data scientists who are leveraging cutting-edge machine learning technology. What you will be doing:
In this highly visible role, you will have the opportunity to work with world-class engineers and data scientists who are leveraging cutting-edge machine learning technology. What you will be doing:
... machine learning frameworks, data science tools, microservices, web applications and other data ... Bachelor's degree in Computer Science, Engineering, or related subject * 4+ years of professional ...
Quick apply
... machine learning frameworks, data science tools, microservices, web applications and other data ... Bachelor's degree in Computer Science, Engineering, or related subject * 4+ years of professional ...
Applied AI Engineer - Engineering Simulation & Design Exploration Location: Quebec (Hybrid) Team ... Experience working with machine learning for physics simulations * Hands-on experience developing ...
Applied AI Engineer - Engineering Simulation & Design Exploration Location: Quebec (Hybrid) Team ... Experience working with machine learning for physics simulations * Hands-on experience developing ...
Applied AI Engineer - Engineering Simulation & Design Exploration Location: Quebec (Hybrid) Team ... Experience working with machine learning for physics simulations * Hands-on experience developing ...
Applied AI Engineer - Engineering Simulation & Design Exploration Location: Quebec (Hybrid) Team ... Experience working with machine learning for physics simulations * Hands-on experience developing ...
Senior Software Engineer
Montreal, QC · On-site +1
Collaborate closely with data scientists and machine learning engineers to productionize advanced buildingcontrol algorithms. * Develop reliable, scalable APIs using FastAPI to support realtime data ...
Senior Software Engineer
Montreal, QC · On-site +1
Collaborate closely with data scientists and machine learning engineers to productionize advanced buildingcontrol algorithms. * Develop reliable, scalable APIs using FastAPI to support realtime data ...
Senior Data Scientist - Computer Vision
Montreal, QC · On-site +1
At least 5 years of experience applying machine learning techniques to computer vision applications. * BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related ...
Senior Data Scientist - Computer Vision
Montreal, QC · On-site +1
At least 5 years of experience applying machine learning techniques to computer vision applications. * BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related ...
Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
Quick apply
Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
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 ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices
Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices
Machine Learning Engineer information
What engineers make $500,000?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.
What do machine learning engineers do?
Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.
What are Machine Learning Engineers?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.
Which 5 jobs will survive AI?
Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.
What Does a Machine Learning Engineer Do?
A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.
What engineers make $300,000 a year?
Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.
What are some common challenges faced by Machine Learning Engineers when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.
What is the difference between Machine Learning Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops scalable ML models, deploys algorithms into production | Analyzes data, builds models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research organizations |
While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Machine Learning Engineer jobs in Quebec? For Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Machine Learning Engineer jobs in QC? For Machine Learning Engineer jobs in QC, the most frequently searched job titles are:
Other
Medical, Retirement, PTO
Posted 16 days ago
Job description
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 difficult training and inference problems using very large models.
Key responsibilities
- Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
- Design and implement workflows for research experiments across toy scenarios and large scale projects.
- Develop tools and libraries to optimize the use of computing resources.
- Establish, document, and maintain best practices for ML model development workflows.
Skills and qualifications
- A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
- 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
- Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
- Familiarity with containerization tools (e.g., Docker, Kubernetes).
- Familiarity with data infrastructures and platforms (e.g., vector databases).
- A track record of contributing to high-quality research projects in deep learning.
What we offer
- The opportunity to contribute to a unique mission with a major impact.
- Comprehensive health benefits.
- A minimum of 20 days vacation per year upon start.
- A minimum retirement savings employer contribution of 4%.
- Generous flexible benefits designed to contribute to your well-being.
- A team of passionate experts in their field.
- A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.