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Machine Learning Jobs in Montreal, QC (NOW HIRING)

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ...

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data ...

New

Lead Machine Learning Engineer

Montreal, QC · Remote

$225K - $260K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design ...

Applied Machine Learning Scientist II

Montreal, QC · On-site

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...

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Join a world-class team of machine learning researchers with an extensive track record in both academia and industry. * Research, develop, and apply new techniques in deep learning to advance our ...

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Machine Learning information

See Montreal, QC salary details

$107.7K

$157.2K

$195.4K

How much do machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning in Montreal, QC is $157,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,636.00 and $186,972.00 per year, depending on experience, location, and employer.

What is a machine learning?

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 the 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 a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

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.

What are the most commonly searched types of Machine Learning jobs in Montreal, QC? The most popular types of Machine Learning jobs in Montreal, QC are:
Infographic showing various Machine Learning job openings in Montreal, QC as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $157,232 per year, or $75.6 per hour.

Machine Learning Manager

LawZero

Montreal, QC

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua Bengio. 

As both a people manager and technical leader, you will guide research team members and spearhead complex projects within a matrix structure. You will bridge the gap between cutting-edge scientific theory and large-scale engineering execution. 

People management

  • Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers. 
  • Partner with other leaders and talent acquisition to scale the organization. Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity.
  • Coach technical team members to help them do their best work and develop new skills, while ensuring a high quality, supportive employee experience.
  • Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment.
  • Display managerial courage as needed to continue fostering a healthy and productive work environment as we scale. 

Technical leadership

  • Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges within an evolving matrix structure.
  • Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale.
  • Advocate for our research agenda internally and externally, maintaining momentum to achieve breakthroughs and overcome complex technical roadblocks.
  • Collaborate within and across projects, bridging theoretical concepts and advanced engineering. 

Required skills and qualifications

Background & experience

  • PhD in a relevant field (e.g., Computer Science, Mathematics).
  • 10+ years experience in machine learning / deep learning
  • 5+ years experience leading projects and people 
  • Experience leading machine learning / deep learning research projects
  • Experience in foundation models 

Role fit

  • Strong alignment with LawZero's existing research agenda.
    • Note: We highly recommend that interested candidates read into the Scientist AI framework before confirming interest. 
  • Advanced oral and written communication skills, with the ability to translate complex scientific concepts for diverse audiences. 
  • Resilience and advanced problem-solving skills when facing ambiguous or unmapped technical challenges.
  • Proven ability to push the boundaries of our research while fostering a sustainable, healthy work environment for your team. 

What we offer

  • The chance to contribute meaningfully to a globally critical initiative
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee match
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation