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Computer Science Startup Jobs in Ontario (NOW HIRING)

Evolver

We are an innovative AI startup focused on transforming professional services through cutting-edge ... D. in Computer Science, Engineering, Neuroscience, Robotics, or a related field. Experience: 5+ ...

ITS Global

Fullstack Developer

Toronto, ON · On-site

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 ...

Kloudville Inc.

Be Seen First

Telecommunications Software Engineer (Senior Product Developer)

Mississauga, ON

CA$82K/yr

Qualifications: · Masters' degree in Computer Science/Engineering · Minimum 5 years of relevant ... a small startup company developing e-commerce solutions in a cloud environment. Kloudville is a ...

DN Capital

In your second year of studies or further (Business, Finance, Computer Science, Engineering) * Preferably with first internship experience in a fast-paced work environment (startup, VC, consulting ...

TOPOLIO

Software Engineer, CTO

Toronto, ON · On-site

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

Rockstar

Software Engineer

Toronto, ON · On-site

... in computer science or a related field - 1-3 years of experience in full-stack development ... Startup mentality with a passion for rapid prototyping, testing, and iterating on feedback ...

HeyGen

Research Engineer

Toronto, ON

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 ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

... paced startup environment and see your research deployed in production with very short turnaround. RequiredQualifications: * PhD or Master's degree in Computer Science, Statistics, Mathematics ...

Td

Research Machine Learning Scientist II

Toronto, ON · On-site

CA$140K - CA$180K/yr

Collaborate closely with our engineering team in a fast-paced startup environment and see your ... PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field

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Computer Science Startup information

See Ontario salary details

$20.5K

$70.6K

$158K

How much do computer science startup jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science startup in Ontario is $70,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $100,000.00 per year, depending on experience, location, and employer.

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

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

What is a computer science startup?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are popular job titles related to Computer Science Startup jobs in Ontario? For Computer Science Startup jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Startup jobs in Ontario look for? The top searched job categories for Computer Science Startup jobs in Ontario are:
Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in Ontario as of August 2026, with employment types broken down into 65% Full Time, 26% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $70,634 per year, or $34 per hour.

Applied Research Scientist

Evolver

On-site

Other

Re-posted 20 days ago

Job description

We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.

About the Role
We are looking for an experienced researcher with a passion for Generative AI and hands-on expertise in cloud development. As an Applied Research Scientist, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered. You will work in small teams to own delivery of high-stakes projects with clients, much like a hands-on AI startup CTO. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Your work will contribute to extending our existing footprint and strategy into new markets and problem spaces opened by Gen AI.
Proven track record of achieving significant results demonstrated in grants, fellowships, patents and publications in top-tier AI conferences (AAAI, ICLR, Neurips); NLP venues (ACL, EMNLP); or computer vision venues (CVPR, ICCV).
 
Responsibilities
Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.
Publish: We encourage collaborations with universities, and inter-disciplinary research to ensure our work is open-access, and for our research to remain at the forefront of innovation.
Mentorship: Guide and support junior researchers and engineers to foster technical growth within the team.
GenAI Development: Support engineering teams for building a platform for enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
Qualifications
Education:
Ph.D. in Computer Science, Engineering, Neuroscience, Robotics, or a related field.
Experience:
5+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
5+ years research experience related to next-generation technologies (multi-modal systems, neuro-symbolic AI, agents, reinforcement learning, domain adaptation, and alignment).
2+ years of hands-on experience building and deploying AI/ML solutions in Azure.
Technical Skills:
Advanced proficiency in Python and libraries such as PyTorch, Tensorflow, JAX or similar.
Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
Familiarity with GenAI frameworks like LangChain, DSPy, or equivalent tools.
Soft Skills:
Excellent communication and collaboration skills in team-driven environments.
Analytical mindset with a strong focus on problem-solving.
Comfortable working in a fast-paced, dynamic startup culture.
Eagerness to learn and contribute to cutting-edge technologies.
Benefits
Competitive Compensation: Tailored to your experience and skill set.
Flexible Work Arrangements: Hybrid working model for work-life balance.
Career Growth: Opportunities for professional development and leadership roles.
Innovative Culture: Work on transformative technologies and make an impact in the AI space.

Apply