Jr. Algorithm Engineer

Location: Vancouver, BCType: Full-time PermanentReports to: Chief Product OfficerStart Date: ASAPBase Salary: $50,000 - 70,000 CAD annually, depending on qualifications and experience.

About Us

At Dynamsoft, we empower developers with world-class SDKs for barcode scanning, OCR, and document imaging. Trusted by enterprises and startups alike, we help developers build fast, reliable, and scalable applications for image capture and document processing.

About the Role

We are looking for a motivated and intellectually curious Jr. Algorithm Engineer to join our Vancouver-based Algorithm Team. This is an excellent opportunity for a recent graduate or early-career professional who is passionate about computer vision, machine learning, image processing, and solving complex technical challenges.
In this role, you will work alongside experienced technical leaders to develop, test and improve computer vision algorithms used for image analysis and data processing applications. YOu will be exposed to a wide range of technologies, research methodologies, and real-world implementation challenges while building a strong foundation in applied computer vision and software development.
We are seeking someone who enjoys learning, embraces feedback, takes initiative, and is eager to continuously develop their technical expertise. The ideal candidate is highly analytical, adaptable, and excited to work in an environment where curiosity and continuous improvement are valued.
As a Computer Vision Developer, you will contribute to the research, development, implementation, and optimization of computer vision solutions.

What You'll Do:

• Designing, implementing, testing, and validating computer vision algorithms for image analysis and data processing applications.
• Conducting algorithmic research to support automated detection, classification, analysis, and interpretation of visual data.
• Evaluating and optimizing existing image-processing and machine learning algorithms to improve performance, accuracy, reliability, and efficiency.
• Supporting the development and enhancement of deep learning models for computer vision applications.
• Assisting with data preparation, model training, testing, and performance benchmarking.
• Collaborating with cross-functional team members to troubleshoot technical challenges and develop practical solutions.
• Participating in code reviews, testing activities, and continuous improvement initiatives.
• Researching emerging technologies, academic papers, and industry developments within computer vision, machine learning, and artificial intelligence.
• Contributing to technical documentation and knowledge sharing within the team.
• Learning and applying new tools, frameworks, and methodologies as technologies evolve.

Skills You'll Have

Must-Have Qualifications

• Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, or a related technical discipline.
• Strong analytical and problem-solving abilities.
• Demonstrated ability to learn new technical concepts quickly and independently.
• Understanding of core programming principles, data structures, algorithms, and computer systems.
• Strong verbal and written communication skills.
• Ability to work effectively in a team environment while managing individual responsibilities.
• Genuine interest in computer vision, machine learning, artificial intelligence, or image processing technologies.

Preferred Qualifications

• Proficiency in C++.
• Experience with Python or other programming languages commonly used in machine learning and computer vision.
• Knowledge of computer vision concepts such as image processing, feature extraction, object detection, segmentation, tracking, or classification.
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar platforms.
• Experience with computer vision libraries such as OpenCV.
• Understanding of mathematics, statistics, linear algebra, probability, and optimization techniques.
• Exposure to machine learning model development, training, and evaluation.
• Personal, academic, or open-source projects related to computer vision, machine learning, robotics, or software development.

Education & Experience

• Bachelor's degree in a relevant technical field required.
• Recent graduates are strongly encouraged to apply.
• Relevant co-op, internship, research, academic, or personal project experience will be considered an asset.
• Professional industry experience is not required for entry-level candidates.

Who You'll Be:

You are someone who enjoys solving difficult technical problems and is excited by the challenge of turning theoretical concepts into real-world solutions. You are:

• Naturally curious and committed to continuous learning.
• Comfortable receiving coaching, feedback, and technical guidance from experienced team members.
• Eager to develop your skills through hands-on problem solving and experimentation.
• Proactive and willing to take ownership of tasks and projects.
• Detail-oriented with a strong focus on quality and accuracy.
• Resilient and adaptable when facing technical challenges or changing priorities.
• Able to work independently while also contributing effectively within a collaborative team environment.
• Passionate about technology, software development, artificial intelligence, and computer vision.

Why Join Us

• Work on meaningful and technically challenging computer vision projects
• Learn directly from experienced technical professionals
• Gain exposure to advanced algorithms, machine learning, and image-processing technology
• Build practical experience in a growing and innovative field
• Enjoy perks including extended health and dental, and an RRSP program.
• Participate in quarterly team events.

Apply Now

If you’re ready to be a part of a high-performing algorithm team:

• Submit your resume and cover letter.
• Candidates must be eligible to work in Canada and located in Metro Vancouver or the Lower Mainland.

We thank all applicants for their interest; only shortlisted candidates will be contacted for next steps in our recruitment process.