Senior Machine Learning Engineer
CanvaLocation🌍Worldwide
Job Type💼Full‑time
Posted📅242 days ago
Engineeringpythontensorflowpytorchllm
About the Role
Join our dynamic team to build and deploy cutting-edge ML-powered features that redefine how businesses connect with customers through advertising.
Responsibilities
- Build, test, and ship ML-powered features to enhance ad generation experiences.
- Design and implement scalable ML pipelines in collaboration with platform teams.
- Collaborate with product managers, designers, and engineers to align on user needs and product direction.
- Run experiments to validate assumptions and improve model effectiveness.
- Contribute to shared ML infrastructure and best practices.
Requirements
- Proven track record of delivering ML-powered product features in production.
- Deep technical expertise across the ML lifecycle: data wrangling, model development, evaluation, deployment, and monitoring.
- Proficiency with Python and ML frameworks like TensorFlow or PyTorch.
- Experience with Generative AI (GenAI) concepts such as LLMs, diffusion models, prompt engineering, RAG, or fine-tuning.
- Familiarity with GenAI platforms (e.g., OpenAI, Hugging Face, Anthropic) and embedding-based systems.
- Strong product mindset focused on improving user experience and product outcomes.
- Ability to work independently while collaborating effectively with cross-functional teams.
Nice-to-Haves
- Experience mentoring and sharing best practices within a team.
- Passion for ethical ML and responsible data usage.
About Canva
View companyCanva is an Australian multinational software company that provides an online graphic design platform with a drag-and-drop interface. It operates on a freemium model, allowing users to create designs for social media, presentations, posters, documents, and other visual content.
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