机器学习工程师 - 私有搜索质量
Machine Learning Engineer - Private Search Quality
#### 公司简介
**加入我们，重新定义世界体验设计的方式。**
嘿，你好，欢迎，你好，你好，你好，您好，欢迎！
感谢您的关注。我们知道找工作可能有点耗时，您可能希望尽快了解有哪些机会，所以我们直入主题。
**您可以在哪里以及如何工作**
我们的旗舰校区在悉尼，还有墨尔本的第二个校区，以及布里斯班、珀斯和阿德莱德的共享办公空间。您可以在工作方式和地点上有灵活性——无论是使用我们的空间、在家，还是两者结合。这个职位支持**在澳大利亚境内远程工作**，您可以选择能激发您和团队最佳表现的工作环境。
#### 职位描述
**关于团队/小组**
我们是Discovery小组，属于Canva的内容与发现超级团队。我们的使命是让每位用户都能轻松找到能帮助他们设计的内容。在小组内部，Private Search Quality团队负责帮助用户找到他们自己的个人、团队和品牌内容——这是人们每次寻找自己已经创建或获得访问权限的内容时所依赖的搜索体验。
**关于该职位/专业领域**
作为Private Search Quality团队的机器学习工程师，您将参与Canva展示私有、团队和品牌内容背后的排名和相关性系统。这意味着构建和改进机器学习排名模型，提升所有用户的相关性，并帮助团队的搜索结果在使用模式和内容类型不断扩展的情况下保持高质量，包括像代理驱动搜索这样的新界面。这也意味着与我们的后端工程师合作，使用我们的ElasticSearch和向量搜索数据库。您将从问题定义到最终交付，全程负责特定项目，并产生可衡量的搜索质量影响。
我们非常重视实验和基于学习成果的迭代，以实现最佳用户体验。
**您将负责（职责）**
- 构建、评估并改进针对私有、团队和品牌内容搜索的机器学习排名模型
- 推动相关性和召回率的提升，特别关注企业用户的结果
- 从事智能结果理解、搜索恢复和精确标题匹配，帮助用户更好地浏览结果
- 使用多种技术（包括ElasticSearch/OpenSearch、向量搜索和注释）参与索引工作
- 将私有和品牌搜索质量和覆盖范围扩展到新的界面
查看英文原文
#### Company Description
**Join the team redefining how the world experiences design.**
Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
**Where and how you can work**
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly **within Australia**, so you can choose the setup that empowers you and your team to do your best work.
#### Job Description
**About the Group/Team**
We're the Discovery group, part of Canva's Content & Discovery supergroup. Our mission is to enable every user to effortlessly find content that empowers them to design. Within the group, the Private Search Quality team owns helping users find their own personal, team, and branded content — the search experience people rely on every time they go looking for something they've already made or been given access to.
**About the Role/Specialty**
As a Machine Learning Engineer on Private Search Quality, you'll work on the ranking and relevance systems behind how Canva surfaces private, team, and brand content. That means building and improving ML ranking models and lifting relevance for all users, and helping the team's search results hold up as usage patterns and content types keep expanding, including newer surfaces like agent-driven search. It also means working with our Backend Engineers with our ElasticSearch and Vector Search databases. You'll take ownership of scoped projects end-to-end, from problem framing through to shipped, measurable impact on search quality.
There is a strong emphasis on experimentation and iterating on learnings to get the best outcomes for our users.
**What you’ll do (responsibilities)**
- Build, evaluate, and improve ML ranking models for private, team, and brand content search
- Drive relevance and recall improvements, with a particular focus on enterprise user outcomes
- Work on intelligent result understanding, search recovery, and exact title match to help users navigate results
- Contribute to indexing with a variety of technologies including ElasticSeach/OpenSearch, Vector search and annotation
- Extend private and brand search quality and coverage into newer surfaces like agent search
- Investigate and resolve quality or relevance regressions in production search
- Communicate technical trade-offs clearly, including to non-technical stakeholders, and share knowledge across the team
**What we're looking for:**
You've got hands-on experience building and shipping ML systems in production, ideally in search, ranking, LTR or relevance, not just training models in a notebook. You're comfortable defining and moving the metrics that matter (relevance, recall, ranking quality) rather than just chasing model accuracy in isolation. You can take a scoped project from idea to shipped with minimal guidance, bringing your own judgement to how a problem should be solved rather than needing a fully defined solution handed to you. You're highly autonomous, comfortable with ambiguity as search surfaces and user needs evolve, and you want your work to show up in something real people use every day.
**What You'll Learn & Build**
- Deep experience building and improving production ranking and relevance systems at Canva's scale
- Exposure to how ML, product, and infra decisions intersect across the wider Discovery group
- The chance to work on emerging surfaces like agent-driven search as the space develops
#### Additional Information
**Don't tick all the boxes? Don't worry about that - nobody does!**
We’d still love to hear from you! At Canva, we know that great engineers come from a variety of backgrounds, and we value passion, curiosity, and a willingness to learn just as much as specific experience. If you're excited about this role but don’t tick every box, we encourage you to apply, you might a great fit in ways you didn’t expect!
**What's in it for you?**
Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
**Here's a taste of what's on offer:**
- Equity packages - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Check out [lifeatcanva.com](https://www.lifeatcanva.com/) for more info.
**Other stuff to know**
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
_All interviews are conducted virtually_