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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 ...

Qualifications What You'll Bring to the Team: * 5+ years of experience in applied machine learning for information retrieval systems or NLP in production. * Proficiency in Python and ML/NLP ...

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 ...

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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 Jul 16, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $157,232 per year, or $75.6 per hour.

Machine Learning Manager

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Re-posted 6 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