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Computer Science New Grad Jobs in Markham, ON (NOW HIRING)

Quincus

Machine Learning Engineer

Toronto, ON

To achieve this, we're working on projects that utilize the latest computer science techniques ... new projects and focuses that meet the demands of the world's fast-paced business needs. Job ...

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... You stay current with industry trends, explore new tools/technologies, and thrive in environments ...

DAC Group

Senior Data Scientist

Toronto, ON

Drive new business development by contributing to pitches, proposals, and thought leadership ... Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied ...

MasterCard

Data Scientist II

Toronto, ON

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ... and apply new technologies, staying current with industry trends and advancements Good ...

Waterfront International Ltd

C++ Programmer

Toronto, ON · On-site

Develop new software as well as enhance existing systems, mostly in C++ on a Linux platform. * Work ... Bachelors, Masters or Ph.D. in Computer Science or Mathematics. * Exceptional C++ programming ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

S degree in Statistics, Engineering, Computer Science or a related field 3+ years of relevant work ... new technologies and products, and doubling down on top talent to drive the company forward. We ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

S degree in Statistics, Engineering, Computer Science or a related field 3+ years of relevant work ... new technologies and products, and doubling down on top talent to drive the company forward. We ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a research scientist working on Learnable Planner, you will invent new AI technologies that ... Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Autodesk

Senior Data Scientist

Toronto, ON · On-site

Collaborate with product owners and other stakeholders to shape new data product ideas or ... computer science, statistics, or a related quantitative field * Advanced Python and SQL skills ...

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All JobsComputer Science New Grad JobsComputer Science New Grad Jobs in Markham, ON

Computer Science New Grad information

See Markham, ON salary details

$20.8K

$62.9K

$114.6K

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

As of Jul 14, 2026, the average yearly pay for computer science new grad in Markham, ON is $62,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,211.00 and $80,528.00 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 cities near Markham, ON are hiring for Computer Science New Grad jobs? Cities near Markham, ON with the most Computer Science New Grad job openings:
Computer Science New Grad jobs near you
Infographic showing various Computer Science New Grad job openings in Markham, ON as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,903 per year, or $30.2 per hour.

Machine Learning Engineer

Quincus

Toronto, ON

Full-time

Re-posted 10 days ago

Job description

"Make every logistics journey your best one yet"

The Company.
Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. 
 
Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  

Overview.
Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. 

Job Overview. 
We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. 

Responsibilities: 
- Design and implement scalable systems for serving deep learning and reinforcement learning models.
- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.
- Utilize GPU computing to accelerate model training and inference.
- Develop and deploy production workflows for training and serving machine learning models.
- Collaborate with data scientists and software engineers to design and implement machine learning systems.
- Monitor and improve the performance of machine learning models in production.
- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. 
 
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in software engineering or machine learning engineering.
- Strong programming skills in Python (C++ or Java a plus)
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with GPU programming using CUDA, OpenCL, or similar libraries.
- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. 

Preferred Qualifications: 
- Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in software engineering or machine learning engineering.
- Experience with reinforcement learning algorithms and frameworks.
- Experience with production deployment of machine learning models and implementation of APIs for big data.
- Strong understanding of computer architecture and performance optimization.
- Strong communication and collaboration skills. 

If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.
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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