ZipRecruiter

Log In

1

Phd Machine Learning Jobs in Quebec (NOW HIRING)

LawZero

Machine Learning Manager

Montreal, QC · On-site

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 ...

Eli Health

Machine Learning Scientist

Montreal, QC · On-site

What we are looking for Someone with a bachelor's degree (Master's or PhD preferred) in Engineering ... Strong foundation in machine learning fundamentals, statistics, and experimental reasoning.

Qualcomm

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of ... Solid knowledge of machine learning concepts and model structures. * Optimization of algebraic ...

New

Kinaxis

MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field * 3+ year of software development experience, track record of delivering commercial software

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · On-site

Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning Minimum Qualifications * MS/M.Tech/M.Math/ or PhD in ...

Socket.dev

Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative fields. * 10+ years of experience to include deep expertise in machine learning, deep ...

SAP

Data Science Chief Expert, CX

Montreal, QC

Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative fields. * 10+ years of experience to include deep expertise in machine learning, deep ...

LawZero

Senior Distributed ML Engineer

Montreal, QC · On-site

An advanced degree (master's or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience. * 3+ years ...

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Intact Financial

Data Scientist II

Quebec, QC · On-site

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

Intact Financial

Data Scientist II

Montreal, QC

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

next page

Showing results 1-20

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Quebec

Phd Machine Learning information

See Quebec salary details

$22K

$119K

$214.5K

How much do phd machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for phd machine learning in Quebec is $119,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $159,000.00 per year, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $119,007 per year, or $57.2 per hour.

Machine Learning Manager

Montreal, QC • On-site

LawZero
See more jobs at LawZeroexternal

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Guide research team members and spearhead complex ML projects within a matrix structure.

  • Design and implement innovative ML models using the Scientist AI approach.

  • Manage and optimize research workflows to ensure rigorous, reproducible results at large model scales.

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

Apply