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Trainee Graduate Software Developer Jobs in Toronto, ON

BetterCloud

Machine Learning Engineer IV, Data

Toronto, ON · On-site

$100 - $130/hr

Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Royal Bank of Canada

Senior AI Engineer

Toronto, ON

The candidate will have a strong background in machine learning models and algorithms, software ... Experience with DevOps practices such as CI/CD, experience with containerization using Docker and ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON

Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira). * University/Post graduate degree in a relevant STEM discipline ...

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Trainee Graduate Software Developer information

What types of projects and responsibilities can a Trainee Graduate Software Developer expect during their first year?

As a Trainee Graduate Software Developer, you’ll typically work on a mix of real-world projects under the guidance of experienced developers. Your daily tasks may include writing and testing code, fixing bugs, participating in code reviews, and collaborating in agile team meetings. You’ll often be assigned smaller features or components of larger projects, which helps you build both technical and teamwork skills. Over time, you may take on increasing responsibility as you gain proficiency and confidence. This structure is designed to help you learn best practices, familiarize yourself with company tools, and prepare for more advanced software development roles.

What is the difference between Trainee Graduate Software Developer vs Junior Software Developer?

AspectTrainee Graduate Software DeveloperJunior Software Developer
QualificationsTypically recent graduates or students; may lack professional experienceUsually has some work experience or internship background
Work EnvironmentTraining-focused, supervised learning environmentMore independent, involved in ongoing projects
ResponsibilitiesLearning tasks, assisting senior developers, basic codingDeveloping features, fixing bugs, contributing to projects

The main difference is that a Trainee Graduate Software Developer is often in a training or learning phase, focusing on gaining skills under supervision, while a Junior Software Developer has some practical experience and takes on more independent tasks within projects.

What are the key skills and qualifications needed to thrive as a Trainee Graduate Software Developer, and why are they important?

To thrive as a Trainee Graduate Software Developer, you need a solid understanding of programming fundamentals, problem-solving skills, and a relevant degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and knowledge of popular programming languages such as Java, Python, or C# are typically expected. Strong communication, teamwork, and a willingness to learn are essential soft skills in this role. These skills enable graduates to adapt quickly, contribute effectively to projects, and grow within fast-paced development teams.

What does a Trainee Graduate Software Developer do?

A Trainee Graduate Software Developer is an entry-level professional who works under the supervision of senior developers to learn and contribute to software development projects. Their tasks typically include writing and testing code, debugging programs, participating in code reviews, and assisting with the design and development of software applications. This role is designed to help recent graduates build their practical skills and gain experience in software engineering practices, tools, and methodologies. Over time, they are expected to take on more responsibility as they grow in their technical abilities and understanding of the software development lifecycle.
What are the most commonly searched types of Graduate Software Developer jobs in Toronto, ON? The most popular types of Graduate Software Developer jobs in Toronto, ON are:
Trainee Graduate Software Developer jobs near you
Machine Learning Engineer III, Data

Machine Learning Engineer III, Data

BetterCloud

Toronto, ON • On-site

$90 - $120/hr

Other

Posted 13 days ago

Job description

What you will do

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

Core Responsibilities
  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
  • Perform additional duties as assigned.
Required Qualifications
  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 3+ years of prior computer vision experience.
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
  • Experience optimizing high-latency models for real-time inference.
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.
Preferred Qualifications
  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on.
  • Experience designing evaluation frameworks for complex visual data.
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