Senior Machine Learning Engineer – Private Search Quality

🔥 0 minutes ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

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Logo of Canva

Canva

1001 - 5000 employees

Founded 2013

☁️ SaaS

📱 Media

📚 Education

💰 $200M Venture Round on 2021-09

SaaS • Media • Education

Canva is a versatile online design platform that empowers users to create a wide range of professional designs with ease. From social media posts and presentations to business cards and posters, Canva provides thousands of templates and design tools to help users bring their creative ideas to life. The platform also offers a suite of AI-powered features to enhance creativity and productivity, including tools like Magic Write for copy generation and Magic Edit for photo transformations. Canva caters to individuals, teams, and enterprises, making it an ideal solution for collaborative design and workflow management. It is also committed to sustainability and social impact, offering free educational and nonprofit access to its premium features.

📋 Description

• Build, evaluate, and improve ML ranking models for private, team, and brand content search • Drive relevance and recall improvements, particularly for enterprise users • Work on intelligent result understanding, search recovery, and exact title matching • Contribute to indexing using ElasticSearch/OpenSearch, vector search, and annotation technologies • Extend private and brand search quality and coverage to newer surfaces such as agent search • Investigate and resolve quality or relevance regressions in production search • Own scoped projects end-to-end, from problem framing through shipped, measurable search-quality impact • Experiment and iterate based on learnings • Collaborate with Backend Engineers • Communicate technical trade-offs and share knowledge across the team

🎯 Requirements

• Hands-on experience building and shipping ML systems in production • Experience ideally in search, ranking, learning-to-rank (LTR), or relevance • Ability to define and improve relevance, recall, and ranking-quality metrics • Ability to take scoped projects from idea to shipped impact with minimal guidance • High autonomy and comfort with ambiguity • Experience with ElasticSearch/OpenSearch • Experience with vector search • Experience with annotation • Experience building and improving ML ranking models • Ability to communicate technical trade-offs to non-technical stakeholders • Ability to share knowledge across the team

🏖️ Benefits

• Equity packages • Inclusive parental leave policy that supports all parents & carers • Annual Vibe & Thrive allowance supporting wellbeing, social connection, office setup & more • Flexible leave options • Flexible work setup: work from home, company spaces, or a mix of both • Virtual interviews

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