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Internship Computer Science Startup Jobs in Toronto, ON

We are small, but fast-growing startup, building custom blockchain-based digital identity and ... foundation in computer science with strong competencies in data structures, algorithms, and ...

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Remuneration is equivalent to $32.00 CAD per hour payable in common shares of the Corporation at ... startup environment. DEI and Workplace Safety: At Vosyn Inc., we are committed to fostering a ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

... Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships ...

You have walked the talk at various levels and can be effective in all startup roles from scripting ... Computer Science, Software Engineering or equivalent academic/professional experience required

You have walked the talk at various levels and can be effective in all startup roles from scripting ... Post-secondary degree in Computer Science, Software Engineering or equivalent academic/professional ...

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... We are in search of passionate Research Scientists with a specialization in Computer Vision to ...

Showing results 21-40

Internship Computer Science Startup information

What does an internship at a computer science startup involve?

An internship at a computer science startup typically involves working on real-world projects, collaborating with experienced engineers, and contributing to software development tasks. Interns may help with coding, debugging, testing, or developing new features, and are often exposed to various aspects of the business, such as product design and customer feedback. Startups usually offer a fast-paced, hands-on learning environment where interns can gain valuable technical and professional skills while making a meaningful impact.

What types of projects or tasks do computer science interns typically work on at startups?

Computer science interns at startups often work on a variety of hands-on projects, such as building new features, fixing bugs, or prototyping innovative ideas. Because startups tend to have smaller teams, interns may have the opportunity to contribute code directly to the product and collaborate closely with engineers, designers, and sometimes even founders. This environment fosters rapid learning and exposure to the full software development lifecycle. Interns may also participate in code reviews, daily standups, and brainstorming sessions, making their work both impactful and dynamic.

What is the difference between Internship Computer Science Startup vs Software Developer Intern?

AspectInternship Computer Science StartupSoftware Developer Intern
Required CredentialsEnrolled in CS or related degree, basic coding skillsEnrolled in CS or related degree, coding skills
Work EnvironmentFast-paced startup setting, collaborative teamsCorporate or startup, team-based projects
Employer & IndustryStartup companies in tech, innovation sectorsTech companies, software firms, startups
Search & Comparison IntentUnderstanding internship roles in startupsComparing internship roles in software development

Internship Computer Science Startup positions typically involve working in dynamic startup environments, focusing on innovative projects with a broad range of responsibilities. Software Developer Intern roles are more structured, often within established companies, emphasizing specific coding tasks. Both require similar educational backgrounds and skills, but the startup internship offers a more versatile experience in a fast-growing setting.

What are the key skills and qualifications needed to thrive as an intern at a computer science startup?

To thrive as an intern at a computer science startup, you need a solid understanding of programming fundamentals, problem-solving skills, and ideally, coursework or experience in areas like algorithms, data structures, or web development. Familiarity with version control systems (like Git), cloud platforms, and common programming languages such as Python or JavaScript is often required. Initiative, adaptability, and strong communication are crucial soft skills for collaborating in a fast-paced, innovative environment. These skills and qualities enable interns to contribute effectively, learn quickly, and grow within the dynamic culture of a startup.
Infographic showing various Internship Computer Science Startup job openings in Toronto, ON as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

Fullstack Developer

ITS Global

Toronto, ON • On-site

Full-time

Re-posted 28 days ago


Job description

We are small, but fast-growing startup, building custom blockchain-based digital identity and tokenization solutions for large enterprise companies and government. We are seeking a Full Stack Developer to join the core of our team. We provide opportunity to learn Smart Contract development with Solidity, and learn different blockchains (Ethereum, AION, and Hyperledger family).

We are looking for a person with the following skillset: 5+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.

4+ years of professional experience using JavaScript and/or Java/J2EE. Knowledge of JS frameworks is a plus. Good hands on knowledge of web technologies, web services, design patterns, and OOA/D.

3+ years of experience developing data-driven applications using NoSQL and RDBMS. Excellent decision-making, communication and collaboration, skills.

Self-motivated, proactive, energetic, and with a startup spirit. Understanding of engineering culture.

Experience with building enterprise solutions is a plus.

Experience with developing blockchain solutions with Solidity and Hyperledger Fabric is a big plus.