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Entry Level Computer Vision Deep Learning Engineer Jobs in L Assomption, QC

Deep expertise in Western music theory and Western music notation, with professional experience in ... MIN 74,915 to MAX 112,372 CAD/Annual The salary range shown reflects the company's good faith full ...

Qualifications What you bring A degree in Computer Science or Software Engineering (or other ... Relational and collaborative interpersonal skills that allow you to achieve the vision of the game ...

Health Care (medical, dental, vision, etc.) * Financial Wellbeing: Employer-sponsored pension ... Employee Resource Groups, tuition reimbursement, on-demand learning platforms Equal Employment ...

Your future role You are the interface with engineering & operations, and your main ... Deep Actual analysis by wbs * Partner with Project Procurement & Finance Managers to optimize ...

Your future role You are the interface with engineering & operations, and your main ... Deep Actual analysis by wbs * Partner with Project Procurement & Finance Managers to optimize ...

... to our vision of simplifying information technology with a human approach. \n \n \n \n \n That ... A master in his or her field with good learning skills, who is versatile and enjoys working with ...

Through a Database Reliability Engineering (DBRE) approach, you will help drive automation, improve ... Develop deep expertise in our products and environments within a complex and stimulating technical ...

... to our vision of simplifying information technology with a human approach. \n \n \n \n \n That ... A master in his or her field who has good learning skills, is versatile and enjoys working with ...

... to our vision of simplifying information technology with a human approach. \n \n \n \n \n That ... A master in his or her field with good learning skills, who is versatile and enjoys working with ...

Showing results 41-60

Entry Level Computer Vision Deep Learning Engineer information

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in L'Assomption, QC as of June 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Backend Development Intern, Fall 2026

Coveo

Montreal, QC • Hybrid

Full-time, Internship

Re-posted 10 days ago


Job description

What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning?

Are you curious about the systems that power information retrieval, index querying, and machine learning development at scale? Coveo is looking for Software Development Interns to join teams within Research & Development, where you'll contribute to meaningful backend projects that support real-world products and client-facing solutions. Your mission? Help improve critical services, strengthen backend infrastructure, and gain hands-on experience in large-scale engineering environments.

You could work on one of the following projects:

  • Search API team: The team is responsible for how Coveo retrieves information from the index and for the surrounding technologies that support that flow. As an intern, you'll contribute to refactoring initiatives that help align the Search API service with the rest of R&D, while learning how to make incremental changes to a critical service.
  • Query-Index team: This team works on index query-related systems, including how Coveo retrieves information from the index and the related technologies that support that flow. As an intern, you'll gain practical experience with regular engineering workflows while also owning a project from requirements gathering to delivery.
Your impact, day to day:
  • Engage actively in daily stand-up meetings to discuss progress, roadblocks, and plans. Collaborate with team members to ensure alignment and effective communication.
  • Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. 
  • Contribute to real-world projects that will be implemented for Coveo's clients. This can include coding, testing, and deploying solutions that meet customer requirements and enhance their experience.
  • Develop your skills by drawing on your mentor's expertise. Watch, learn, and apply the best practices, methodologies, and strategies used in project management and software development.
  • Take an active role in code review sessions. Offer constructive feedback and receive advice on how to raise the quality of your code, follow best practices and strengthen your programming skills.
The Essentials:
  • You are currently studying Software Engineering or Computer Science in a Bachelor's degree or higher in the province of Quebec.
  • You are able to work from one of our offices 2 days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work.
  • You are legally entitled to work full-time in Canada for the duration of the 15 week internship.
Think you've got what it takes? Let's see!
  • You have experience in: 
    • To join the Search API team: Scala, Java or Kotlin, experience with microservices, SpringBoot, or APIs is a bonus.
    • To join the Query-Index team: C++, experience with Java or SQL is a bonus.  
  • You have completed an internship. 
  • You have a strong sense of ownership and are proud of what you create.
  • You strive to grow and aren't afraid to ask questions.
  • You're passionate about the tech industry and lead with a proactive mindset.
  • You've participated in some hackathons and/or have a few personal projects.
Join the Coveolife! 

Do you think you can bring this role to life? Send us your application, we want to hear from you!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
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