Machine Learning Engineer, Training Optimization

Canva

Machine Learning Engineer designing and optimizing training systems for large-scale AI models at Canva. Collaborating with global teams and pushing the limits of AI-assisted design.

Posted 4/17/2026full-timeRemote • 🇨🇳 ChinaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchRust

About the role

Key responsibilities & impact

You’ll design, implement, and optimize large-scale machine learning systems for training
You’ll improve all aspects of performance, including GPU utilization, communication overhead, and memory efficiency.
You’ll partner with research and modeling teams to align systems with algorithmic needs.
You’ll evaluate and apply best practices for distributed training using industry-leading frameworks.
You’ll dive deep into low-level optimization, including custom CUDA or Triton kernels.
You’ll debug, profile, and fine-tune training workflows to unlock new levels of scalability.

Requirements

What you’ll need

Strong background in LLMs, multimodal AI, or diffusion models.
Proficiency in Python.
Familiarity with a system programming language (e.g. C++ or Rust) is a plus.
Deep knowledge of PyTorch or JAX as well as libraries such as Megatron-LM, NeMo, or DeepSpeed.
Familiarity with common optimization techniques such as FSDP/ZeRO, gradient checkpointing, or low-precision data types.
Hands-on experience writing custom GPU kernels in CUDA or Triton.
Excellent communication and problem-solving skills, incl. full proficiency in English.

Benefits

Comp & perks

Employees can work remotely

ATS Keywords

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Hard Skills & Tools

machine learningPythonC++RustPyTorchJAXMegatron-LMNeMoDeepSpeedCUDA

Soft Skills

communicationproblem-solving