ML Systems Software Development Engineer Intern, Annapurna Labs - 2027

At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where Basic qualifications: - Currently enrolled in a Bachelor's degree program or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field - Programming experience through coursework, research, or a previous internship using Python, C, and/or C++ - Strong interest and academic, research, or project experience in at least two of the following areas: 1/ Performance engineering, profiling, benchmarking, or low-level systems optimization. 2/ Kernel development, parallel programming, or computer architecture. 3/ Developer tooling, including profilers, debuggers, diagnostics, or visualization. 4/ Data structures and algorithms. 5/ Machine learning frameworks and models, including PyTorch or JAX. 6/ Compiler or ML systems technologies such as LLVM, MLIR, XLA, or TVM Preferred: - Experience bringing up and optimizing machine learning models - Experience writing or optimizing kernels for GPUs, ML accelerators, or FPGAs - Experience using performance analysis tools or building developer tools - Previous technical internship or relevant research experience - Experience with full stack development, including front-end technologies such as TypeScript and React, and back-end services (experience with Go is a plus) - Ability to explain technical challenges and solutions clearly - Ability to independently work through ambiguous or undefined problems and think abstractly - Experience in developing agentic workflows for work automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. In addition, Amazon offers basic life & AD&D insurance, paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. Toronto, ON, CAN - 100,810.00 CAD Annually