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Senior Machine Learning Engineer Jobs in Montreal, QC

We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a ... Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ...

Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ... Experience with structured and unstructured data, feature engineering, and model interpretability ...

... As a Senior ML Developer on the team, you will be responsible for leading/contributing to the ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ... Machine Learning Platform Exposure: Experience supporting machine learning workflows, feature ...

We are seeking a senior distributed 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 ...

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player ...

Showing results 21-40

Senior Machine Learning Engineer information

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Montreal, QC? The most popular types of Machine Learning Engineer jobs in Montreal, QC are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Montreal, QC? For Senior Machine Learning Engineer jobs in Montreal, QC, the most frequently searched job titles are:
Infographic showing various Senior Machine Learning Engineer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 19% Part Time, 1% Temporary, 2% Contract, and 10% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Deep Learning Engineer

Targeted Talent

Montreal, QC • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 9 hours ago


Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.

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Company size

11 - 50 Employees

Headquarters location

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