As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
You will report to the Senior Manager of the AI Platform team.
Responsibilities:
- Develop key AI infrastructure components to support end-to-end machine learning lifecycle operations.
- Establish scalable, secure, and reliable cloud-based platforms for large-scale data analysis, model development, validation, and deployment in real-time applications.
- Design and implement efficient, automated customer-facing processes and workflows that leverage AI platform technologies.
- Work with producers, data scientists, ML engineers, and game developers to seamlessly integrate machine learning solutions into live services, ensuring effective model deployment and performance in production environments.
- Design and implement cloud solutions using AWS, GCP, or Azure to support scalable machine learning workloads with high availability.
- Manage and operate commercial tools and platforms such as Databricks, AWS and GCP.
- Optimize the platform and deployed models for performance, security, scalability, and cost efficiency in real-time, live environments.
Qualifications:
- Currently enrolled in a Master's degree in Computer Science, Electrical Engineering or related fields focusing on AI/ML systems or platform development.
- Proficiency in Deep Learning frameworks like PyTorch
- Proficiency in Python programming
- Experience in CI/CD, containerization and orchestration tools such as Docker and Kubernetes.
- Experience designing and building scalable cloud-based solutions for machine learning lifecycle.
- Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure.
- Experience deploying and managing machine learning models in production for real-time applications.
- Experience with one or more data lakehouse solutions, like Snowflake, Trino, Redshift, or Spark.
- Experience with Gen AI technologies like diffusion models and LLM.
You must be available for a full-time paid internship in the summer of 2026.
At this time, we are considering Masters students who will be enrolled in an accredited degree program in the summer of 2026, slated to graduate no earlier than December 2026. Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship. Visa sponsorship is not available for this position.
Please ensure that your graduation date is visible on your resume.
