1

Machine Learning Software Engineer Intern Jobs in Waterloo, ON

Develop and deploy predictive machine learning models to enhance product experiences, forecast ... Hands-on experience with Agile Software Development methodologies and tools like Jira. * Working ...

Excitement for learning new domains and new skills. Compensation and Benefits: * Base Salary: $90K ... RideCo's software powers a diverse range of use cases, including paratransit, residential/ suburban ...

Software Developer ID: 1007 Location: Kitchener Department: Information Technology More about this ... Commitment to continuous learning and career development. While we thank all applicants that apply ...

Allocate software engineering resources across multiple product lines and platforms (embedded ... systems, or machine control (e.g., motion systems, robotics). * DevOps: CI/CD pipelines ...

Software Manager

Waterloo, ON · Hybrid

CA$130K - CA$150K/yr

Allocate software engineering resources across multiple product lines and platforms (embedded ... systems, or machine control (e.g., motion systems, robotics). * DevOps: CI/CD pipelines ...

An AI-native software engineer. You've integrated AI deeply into how you build software--not as a ... Curious and constantly learning. The AI landscape changes weekly. You stay on top of new models ...

New

next page

Showing results 1-20

Machine Learning Software Engineer Intern information

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
Infographic showing various Machine Learning Software Engineer Intern job openings in Waterloo, ON as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Senior Full-Stack Software Engineer

Manulife

Waterloo, ON

CA$113K - CA$163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

We are seeking a Senior FullStack Software Engineer to join our team to design, build, and support scalable, accessible, and secure software solutions. In this role, you will contribute across the full technology stack-from frontend user experiences to backend services and cloud infrastructure-while providing technical leadership and mentorship within the engineering team. You will collaborate closely with product, design, and engineering partners to deliver highquality solutions that meet both user and business needs.

Position Responsibilities:

  • Design, develop, and deploy endtoend features across frontend, backend, APIs, and infrastructure
  • Collaborate with crossfunctional partners (product, design, engineering) to define requirements and deliver solutions
  • Contribute to architectural and technical design decisions with a focus on scalability, performance, security, and reliability
  • Write clean, maintainable, welltested code following established engineering best practices
  • Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
  • Troubleshoot and resolve complex, crossstack issues by identifying root causes and implementing sustainable fixes
  • Participate in code reviews and contribute to shared engineering standards and documentation
  • Support and mentor other engineers through knowledgesharing and constructive feedback
  • Stay current with emerging technologies and evaluate their applicability to the product ecosystem

Required Qualifications:

  • 8+ years experience full stack software development
  • Professional experience as a fullstack or software engineer delivering production systems
  • Experience building frontend applications using modern frameworks such as React
  • Backend development experience with Node.js, Express, or similar technologies
  • Experience designing and consuming RESTful APIs and working with domaindriven models
  • Experience working with relational and/or NoSQL databases (e.g., SQL, MongoDB)
  • Handson experience with cloud platforms, such as Azure
  • Experience using container technologies (e.g., Docker, Kubernetes)
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Understanding of performance, accessibility, and responsive design principles
  • Experience providing technical guidance, mentorship, or leadership within a team

Preferred Qualifications:

  • Experience designing or supporting distributed systems
  • Strong problemsolving and systemsthinking skills
  • Clear, collaborative communication style
  • Interest in continuous learning and improving engineering practices
  • Experience working in crossfunctional or agile teams

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our distributed team, we'll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Waterloo, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.