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Computer Science New Grad Jobs in Ontario (NOW HIRING)

Associate Account Executive

Ottawa, ON · On-site

CA$50K - CA$75K/yr

At DSP-Eclipsys, we are excited to add new grad roles to our world-class sales team. You will ... The annual base salary range for this position is $50,000 - $75,000 CAD. At DSP-Eclipsys, our goal ...

... computer science, but we would welcome applications from outstanding candidates in any area ofcomputer science. * Broad scientific knowledge * The ability to absorb new areas of research ...

... Computer Science, or a related area * Hands-on technical experience in experimentation, causal ... Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to ...

CA$100K - CA$115K/yr

New position - current requirement Work Arrangement: Hybrid (2 days in office per week) Position ... Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ...

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

... data science * Explore and experiment with new techniques, tools, models, and data sources ... computer science focus preferred. * Machine learning, data science, AI engineering, or applied ...

Job Summary As an NPI Manufacturing Engineer (New Grad) at Viavi Solutions Canada ULC, you will ... Demonstrated experience with CAD software (e.g., SolidWorks, Creo). * Experience with various ...

As the ecosystem evolves, new forms of commerce are introducing new types of risk that require ... Bachelor's degree (Master's or PhD preferred) in Data Science, Statistics, Mathematics, Computer ...

Data Scientist

Toronto, ON · Hybrid

CA$131K - CA$150K/yr

A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ... Those who are new to the role may join below the midpoint and develop their skills over time. The ...

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Showing results 1-20

Computer Science New Grad information

See Ontario salary details

$22K

$66.4K

$121K

How much do computer science new grad jobs pay per year?

As of Jul 18, 2026, the average yearly pay for computer science new grad in Ontario is $66,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to Computer Science New Grads in their first role?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

How to make 10,000 a month with no degree?

A computer science new graduate can potentially earn $10,000 a month by developing high-demand skills such as software engineering, data analysis, or cybersecurity, and working as a freelancer, consultant, or in high-paying remote roles. Building a strong portfolio, gaining certifications, and leveraging platforms like Upwork or LinkedIn can help access lucrative opportunities without a degree.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually through experience, specialized skills, and certifications like AWS or Cisco. Sales, real estate, and entrepreneurial ventures also have potential for high income without a formal degree, often relying on performance, networking, and business acumen.

What are the key skills and qualifications needed to thrive in the Computer Science New Grad position, and why are they important?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What is a Computer Science New Grad job?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

Are new CS grads getting jobs?

New computer science graduates often find entry-level positions in software development, data analysis, and related fields, especially when they have strong programming skills and internships. Job availability can vary based on economic conditions, location, and individual qualifications, but many employers actively seek recent grads with foundational knowledge in programming languages and problem-solving abilities.

What jobs can you land as a new grad with a computer science degree?

As a new graduate with a computer science degree, common entry-level roles include software developer, quality assurance tester, technical support specialist, data analyst, and systems analyst. These positions typically require knowledge of programming languages, problem-solving skills, and familiarity with tools like Git and SQL. Opportunities are available across industries such as technology, finance, healthcare, and consulting.
What are popular job titles related to Computer Science New Grad jobs in Ontario? For Computer Science New Grad jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science New Grad jobs in Ontario look for? The top searched job categories for Computer Science New Grad jobs in Ontario are:
What cities in Ontario are hiring for Computer Science New Grad jobs? Cities in Ontario with the most Computer Science New Grad job openings:
Infographic showing various Computer Science New Grad job openings in Ontario as of July 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 100% In-person job distribution, with an average salary of $66,396 per year, or $31.9 per hour.
Principal Data Scientist-Gen AI, Machine Learning (10042)

Principal Data Scientist-Gen AI, Machine Learning (10042)

Extreme Networks

Toronto, ON

Full-time

Posted 21 days ago


Job description

Principal Data Scientist - (Gen AI, Machine Learning):
 
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
 
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
  • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
  • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
  • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
  • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
  • Represent the organization externally through publications, talks, and collaborations, strengthening the company's thought leadership in AI and ML
Requirements:
  • Degree in Computer Science, Mathematics, or a related field
  • 8+ years of experience in applied ML research and production deployment
  • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
  • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
  • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
  • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
  • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
Preferred Qualifications
  • MS or PhD in Computer Science, Machine Learning, or a related discipline
  • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
  • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
  • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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