Prior Listings
Senior Machine Learning Engineer (Python) - ANZ
Senior Machine Learning Engineer (Python) - ANZ
This job is no longer open
Canva’s Commitment and Mission
At Canva, we celebrate diversity. We deeply believe that bringing together diversity of thoughts, perspectives and expression is key to building the best product, team and company. We mean it when we say we want to create a diverse and inclusive workplace where we value all different types of experiences and want to create a space and culture where you feel like you belong.
We know it can be a tricky time applying for roles, wondering if the role is right for you and if you and your experience are right for the role too. Many people won’t apply for roles unless they feel that they tick every single box. At Canva we look for many different skills and abilities and we’re always looking for how new team members can add to Canva and our culture. So if you don’t think you quite meet all of the skills listed, we’d still love to hear from you!
Our mission at Canva is to empower the world to design and since launching in 2013, we have grown exponentially, amassing over 80 million monthly active users across 190 different countries and a team of over 2,800 people… and the best bit is that we’ve only achieved 1% of what we know we’re capable of.
Be a Force for Good
We’re driven by our values, with our ‘Be a Force for Good’ value supporting everything that we do. Through your work on our product or team, and our community initiatives and sustainability programs, you’re given the opportunity to come to Canva and make a tangible difference to the lives of others in your day-to-day life. In addition to our Founder’s 30% Pledge, Canva is committed to Pledge 1% and actively encourage our team to participate in many ways, including taking paid volunteer leave.
Your journey with Canva could take you to places that you might not even imagined yet. There’s opportunity around every corner and the support to help you achieve your goals.
Join us and design your future.
The Data Science specialty is engaged in delivering value to Canva’s users, by designing, building and maintaining complex systems to apply statistics and machine learning at scale, and multiplying manual effort with data intelligence. This includes making it easy for users to discover over 75M+ templates, photos, videos and elements; messaging, marketing and building engagement with users; and making it easier for users to design.
We're looking to grow the team to continue to scale the impact of machine learning and data science across Canva. You'll be joining a fast moving team, rapidly building and shipping machine learning-driven features to users and staff.
Responsibilities
- Hypothesis-driven development of data and ML-driven features across Canva.
- Engineering implementation: developing and implementing ML models and features, as well as using third party APIs and pre-trained models when appropriate.
- Running offline and online experiments.
- Investigating and spiking applications of data and ML across the Canva product, considering tradeoffs between different approaches and rapidly shipping.
- Contributing to the full life cycle of ML/data models: data analysis, data preprocessing and pipeline, modelling, tuning and productization.
- Improving the scalability, speed and performance of existing models.
- Working alongside data specialists, software engineers and product owners to identify business and growth opportunities.
- Designing and creating new data workflows and deploying these workflows to users.
- Sharing and articulating statistical analysis, modelling, experiment and results to technical and non-technical audiences.
Requirements
- More than 5 years of Industry experience in the machine learning /software engineering role with a Product/SaaS company.
- Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
- Strong Coding proficiency in Python, interviews will be in Python.
- Familiarity with several of the following: TensorFlow, PyTorch, scikit-learn, Kubernetes, Docker, Solr/ElasticSearch
- Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
- SQL experience preferred.
- Strong research skills: the ability to dig through deep learning literature and translate this into product and value for users.
- Bachelor's degree in Computer Engineering / Science or Mathematics.
- Excellent collaboration and communication skills.
Perks and Benefits
- Flexible daily working hours, we value work-life balance
- Breakfast and lunch prepared by our wonderful Vibe team
- Onsite-Gym and Yoga Membership
- End-of-Trip Facilities: Bicycle parking and showers
- Generous parental (including secondary) leave policy
- Pet-friendly offices
- Sponsored social clubs, team events and celebrations
- Relocation budget for interstate or overseas individuals (see below for visa information)
If you're seeking professional growth and enjoy working on large, distributed, cloud-based applications that delight our millions of individual and business users alike - then apply now to be considered for the position!
If you require visa sponsorship, you must ensure you have at least two (2) years of post-University commercial experience as a Software Engineer and meet the mandatory sponsorship requirements laid out by Department of Home Affairs.
We will not accept or review any CVs from external recruitment agencies.
Working at Canva
Our culture is unlike anywhere else and together we design your #CanvaLife experience to empower you to do the best work of your life.
Whether you’re in the office, working from home or choosing your own adventure, we recognise that every single person is unique and our Canvanaut benefits aim to ensure we cater for all.
Our benefits for permanent Canvanauts include:
• Equity packages for you to truly be a part of the Canva journey
• Hybrid work model (in-office & from home) coming together for 8 days a year. The rest, you choose where you work best.
• Flexible leave so you can recharge, give back, support others or focus on your own professional development.
• Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey.
• An annual Vibe & Thrive allowance. This is for you to spend on whatever will support your wellbeing and development. It could be anything, from a Masterclass subscription to an electronic stand-up desk, a pilates membership, or dinner out with a teammate. Because you know what you need to Vibe and Thrive, better than anyone.
• Virtual and in-office wellness benefits including Canva University, Employee Assistant Programs, Fitness Classes and other benefits to support your physical, mental, and social wellbeing.
• Canva For Good program matching your not-for-profit donations and a range of sustainability and ethical initiatives to get involved in.
We make hiring decisions based on your experience, skills and passion. Please note that interviews are conducted virtually. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
This job is no longer open