Remote Senior Machine Learning Engineer - Content Enrichment (Remote across ANZ)

Description:

• Join the team redefining how the world experiences design at Canva.
• The role is remote and available across Australia and New Zealand (ANZ).
• You will be building enrichment solutions to tag and classify various content types in Canva's library.
• The position involves designing data pipelines to automate metadata backfills for the existing content library.
• You will be responsible for wrangling datasets to train and evaluate machine learning models.
• Troubleshooting and resolving technical issues within the team’s domain will be part of your duties.
• You will design and build bespoke machine learning solutions for novel problems such as style transfer and agentic design generation.
• Proposing methods to decrease the cost of inference in the enrichment pipeline is expected.
• You will manage stakeholders and identify cross-team collaboration opportunities to drive new ideas and improvements.
• Investigating and providing guidance on interacting with the service and codebase in response to stakeholder requests is also part of the role.
• The team consists of experienced engineers, including three senior machine learning engineers, three senior backend engineers, a senior backend architect, a product manager, and an engineering manager.

Requirements:

• You must have more than 5 years of hands-on experience in designing and developing complex machine learning models, especially in computer vision.
• Experience in R&D and conducting literature reviews on the latest machine learning techniques is required.
• Proficiency in PyTorch and setting up cloud machine learning infrastructure is essential, with familiarity in large language models (LLMs) and prompt engineering as a must.
• Familiarity with embeddings and vector databases is necessary.
• You should have experience working with microservices and large monorepos.
• Following disciplined coding practices, actively participating in code reviews, and setting best-practice standards for peers is expected.
• Strong written and verbal communication skills and excellence in team collaboration are required.
• You should take the time to fully understand problems before diving into code.
• Preferred qualifications include holding a Master’s or PhD degree in a machine learning discipline.
• Experience with Ray, Weights & Biases, Kubernetes, and Java is preferred.
• Experience hosting LLM architectures and fine-tuning them through reinforcement learning is also preferred.

Benefits:

• Equity packages are offered to ensure that your success aligns with the company's success.
• An inclusive parental leave policy supports all parents and carers.
• An annual Vibe & Thrive allowance is provided to support your wellbeing, social connection, office setup, and more.
• Flexible leave options empower you to take time to recharge and support your personal needs.