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SeniorFull-timePythonMachine LearningTensorFlowPyTorchAIML
Salary Range
$90,168 - $121,992 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join Canva Grow, a product group focused on building creative, data-driven advertising solutions. This role will involve developing ML-powered features that enhance ad generation experiences and designing scalable ML pipelines.
Key Responsibilities
- βBuild, test, and ship ML-powered features that enhance ad generation experiences
- βDesign scalable ML pipelines in collaboration with platform teams
- βWork closely with product managers, designers, and engineers to align on user needs and product direction
- βRun experiments to validate assumptions and improve model effectiveness
- βContribute to shared ML infrastructure and best practices at Canva
- βKeep up with state-of-the-art developments and explore ways to apply them at scale
Requirements
- βHighly skilled machine learning engineer with a proven track record of delivering ML-powered product features in production
- βDeep technical expertise across the ML lifecycle - from data wrangling and model development to evaluation, deployment, and monitoring
- βComfortable operating independently while collaborating deeply with cross-functional teams
- βDemonstrated experience building and deploying ML-powered features in production environments
- βProficiency with Python and frameworks like TensorFlow or PyTorch
- βExperience with Generative AI (GenAI): LLMs, diffusion models, prompt engineering, RAG, or fine-tuning
- βFamiliarity with GenAI platforms (e.g., OpenAI, Hugging Face, Anthropic) and embedding-based systems
- βStrong product mindset that prioritizes ML solutions that improve user experience and product outcomes
- βCommitment to scalable, maintainable ML systems with clear metrics and impact tracking
- βPassion for ethical ML and responsible data usage
- βEnjoy mentoring and sharing best practices within the team
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