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Computer Science Jobs in Montreal, QC (NOW HIRING)

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Artefact

Senior, AI & Data Science

Montreal, QC · On-site

Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field, or equivalent experience. Preferred: * Causal inference, time series, or advanced ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ...

LawZero

Senior ML Research Developer

Montreal, QC · On-site

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 ...

Synechron

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Bachelor's in computer science or related field * 5+ Years Hands-on experience in building ML and Data Science solutions for real world problems * Understanding of ML models and concepts, good ...

Intact Financial

Manager, Data Science

Montreal, QC · Hybrid

Data science enthusiasts with a background in a related field, including (but not limited to): machine learning, computer science, software engineering, physics, actuarial science, mathematics or ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

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 ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

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 ...

Intact Financial

Senior Data Scientist

Montreal, QC · On-site

A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of ...

SAP

Data Science Chief Expert, CX

Montreal, QC · On-site

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 ...

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All JobsComputer Science JobsComputer Science Jobs in Montreal, QC

Computer Science information

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Montreal, QC?

The most popular types of Computer Science jobs in Montreal, QC are:

What are popular job titles related to Computer Science jobs in Montreal, QC?

For Computer Science jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Computer Science jobs in Montreal, QC look for?

The top searched job categories for Computer Science jobs in Montreal, QC are:

Computer Science jobs near you
Infographic showing various Computer Science job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Founding Computer Vision Engineer

Assembler AI

Montreal, QC • On-site, Remote

Full-time

Posted 4 days ago

Key responsibilities

  • Train, evaluate, and improve vision models on real production video

  • Own the training datasets by sourcing, selecting data, defining label schemas, and reviewing annotation quality

  • Investigate model failures on footage, identify root causes, and work with the annotation team to target data for performance improvement

Job description

The Opportunity

Manufacturing powers the global economy at $50T a year and it relies heavily on human dexterity and skill to produce the goods we rely on every day. Yet manufacturers have little visibility when issues arise at manual assembly stations, impacting productivity and quality.

Assembler AI is changing that.

We use computer vision and artificial intelligence to help manufacturers improve quality, reduce waste, increase throughput, and enable frontline employees to perform at their best.

Backed by Diagram Ventures, we're building a category-defining company at the intersection of AI, manufacturing, and operational excellence.

The role

We're hiring a founding computer vision engineer. You'll work directly with the Head of AI on the perception models behind our products, and take ownership of the datasets and evaluation work that make them perform in the field.This is an applied, hands-on role. Our hardest problems aren't about picking the newest architecture , they're about building the right training data, evaluating honestly enough to know what actually improved, and spending real time in the footage to understand what a model is getting wrong. If you like problems where the answer is in the data rather than the paper, you'll do well here.

What you'll do

  • Train, evaluate, and improve vision models on real production video
  • Own our training datasets: sourcing and selecting data, defining label schemas, and reviewing annotation quality
  • Design evaluations that reflect real deployment conditions, and report results clearly and honestly
  • Investigate model failures directly on footage and identify their root causes
  • Work with our annotation team to target the data most likely to improve performance
  • Run experiments end to end: from question, to training runs, to a result someone can act on

Requirements

  • Bachelor's in computer science, engineering, mathematics, or a related field ( or equivalent practical experience). A Master's in computer vision, machine learning, or a related area is welcome but not required
  • 2+ years of hands-on applied computer vision experience, ideally in industry or on systems deployed beyond a research environment
  • You've trained and deployed a vision model on real-world data end to end, including the messy parts
  • Strong Python and PyTorch
  • Solid understanding of evaluation: train/test splits, precision/recall tradeoffs, and why a strong validation score doesn't always mean a good model in production
  • Comfortable spending significant time reviewing video footage; understanding what the camera actually sees is a real part of this job
  • Willing to say "I don't know" and "I think I got that wrong." We'd rather hear it early
  • Professional working proficiency in French and English
  • Based in Canada

Technical environment

Required:

  • Git and a standard branch/review workflow
  • Linux — comfortable working entirely over SSH on remote GPU machines: bash, background jobs, services, reading logs
  • Cloud — hands-on experience with AWS and/or GCP, including compute, storage, and managing your own training environments
  • PyTorch and CUDA — GPU-based training, checkpoint management, and experiment tracking.
  • OpenCV and ffmpeg — decoding, cropping, and processing video at scale
  • NumPy, pandas, scikit-learn, and standard annotation data formats

Nice to have:

  • Experience with video and temporal models, not just single images
  • Object tracking and multi-object association
  • Model export and inference optimization
  • Experience with annotation platforms and running an annotation workflow
  • Exposure to manufacturing, robotics, or industrial inspection

Why join

You'll be the second person on the AI team, with direct ownership of a core part of the product and a very short path from your work to something running on a live production line.

Compensation & Benefits

  • Competitive salary and stock options
  • Competitive Health benefits
  • Health and wellness spending account, from $500 to $1,000 annually
  • Latest MacBook and modern sales tooling
  • Opportunity to grow as the company scales