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Junior Computer Science Jobs in Waterloo, ON (NOW HIRING)

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design ... Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning ...

New

The [Junior Full Stack Developer - coop] role is to help plan, design, develop, test, launch, and ... Pursuit of Bachelor's degree or Community College diploma in Computer Studies, Computer Science ...

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ...

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ...

Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future products Requirements: * MS or PhD in Computer Science, Engineering or related field * 10+ years of ...

Compiler Tech Lead

Kitchener, ON · On-site

$170K - $190K/yr

Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future products Requirements: * MS or PhD in Computer Science, Engineering or related field * 10+ years of ...

Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future products Requirements: * MS or PhD in Computer Science, Engineering or related field * 10+ years of ...

Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future products Requirements: * MS or PhD in Computer Science, Engineering or related field * 10+ years of ...

Lead technical design discussions, conduct architecture reviews, and mentor junior developers to ... Degree in Technology, Computer Science, Finance, Business, or a related field Great-to-haves

Mentor junior developer(s) in the design, development, and testing of React applications, providing ... Bachelor's degree in computer science or a related field Nice to Have: * Architect solutions * PHP ...

Mentor and provide guidance to junior auditors, enhancing their skills and knowledge * Establish ... Hold a bachelor's degree in Business and Accounting, Information Technology, Computer Science, or a ...

Senior Control Engineer

Kitchener, ON · On-site

CA$95K - CA$140K/yr

... junior engineers and support product lifecycle and field issue resolution. Required Qualifications and Skills: * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science ...

Senior Control Engineer

Kitchener, ON · On-site

CA$95K - CA$140K/yr

... junior engineers and support product lifecycle and field issue resolution. Required Qualifications and Skills: * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science ...

Firmware Engineer

Kitchener, ON · On-site

CA$87K - CA$135K/yr

... junior engineers and support product lifecycle and field issue resolution. Required Qualifications and Skills: * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science ...

Lead a small team of junior developers, providing guidance, conducting design reviews, and ... Master's Degree in Computer Science or a related field. * Knowledge of Machine Learning and ...

Supervision of project teams including Junior, Intermediate and Senior Business Analysts and ... A university degree in the field of computer science, information science, management information ...

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Showing results 1-20

Junior Computer Science information

See Waterloo, ON salary details

$19.6K

$54.1K

$106.8K

How much do junior computer science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior computer science in Waterloo, ON is $54,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,895.00 and $60,603.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior computer scientist?

To thrive as a Junior Computer Scientist, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development environments are commonly expected. Strong problem-solving abilities, effective communication, and a willingness to learn are essential soft skills for this role. These skills and qualities enable junior computer scientists to contribute to team projects, adapt to new technologies, and efficiently solve real-world technical problems.

What is the difference between Junior Computer Science vs Junior Software Developer?

AspectJunior Computer ScienceJunior Software Developer
Required CredentialsDegree in Computer Science or related fieldDegree or coding bootcamp certification
Work EnvironmentAcademic, research, or entry-level tech rolesSoftware development teams, tech companies
Industry UsageUniversities, research labs, tech firmsSoftware companies, startups, IT departments
Common Search/ComparisonYesYes

Junior Computer Science roles typically focus on foundational knowledge, research, or academic settings, requiring a degree in computer science. Junior Software Developer positions are more application-oriented, involving coding and software creation within development teams. While both roles are entry-level, they serve different career paths within the tech industry.

What is a junior computer scientist?

A Junior Computer Scientist is an entry-level professional who typically holds a degree in computer science or a related field. They work under the supervision of senior staff to design, develop, test, and maintain software, algorithms, or systems. Their responsibilities may include coding, debugging, conducting research, and assisting with technical documentation. This role is often a starting point for those looking to advance in the field of computer science, offering valuable hands-on experience and opportunities to learn from more experienced colleagues.

What types of projects and responsibilities can a junior computer science professional expect in their first year?

As a Junior Computer Science professional, you can expect to work on a variety of foundational tasks such as debugging code, writing unit tests, and assisting with the development of new features under the supervision of more experienced team members. You may also participate in code reviews, collaborate with cross-functional teams like design and QA, and help maintain documentation. These hands-on experiences are designed to help you build technical skills, understand software development processes, and gradually take on more complex assignments as you gain confidence and expertise.
What are the most commonly searched types of Computer Science jobs in Waterloo, ON? The most popular types of Computer Science jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Junior Computer Science jobs? Cities near Waterloo, ON with the most Junior Computer Science job openings:
Infographic showing various Junior Computer Science job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $54,108 per year, or $26 per hour.

Junior Machine Learning Engineer

ALS

Waterloo, ON • On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.