4 Artificial Intelligence jobs in New Zealand
Staff Machine Learning Engineer - Dataset & Training Platform
Job Viewed
Job Description
Only for registered members
Auckland
Remote
NZD 100,000 - 150,000
Job DescriptionJoin 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. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work — we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
What you'd be doing in this role
As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
At the moment, this role is focused on:
- Architecting foundational AI Platform capabilities, making key technical decisions that impact how models are trained and deployed across Canva.
- Leading cross-team initiatives to consolidate and improve dataset and training capabilities, working with stakeholders across multiple engineering and research teams.
- Building and maintain paved roads for high-performance distributed data processing and training systems, optimising for cost efficiency and developer experience.
- Driving technical strategy discussions, weighing platform stability needs against product velocity requirements.
- Mentoring other engineers and contribute to growing Canva's AI platform engineering capabilities.
- Solving complex technical challenges spanning multiple parts of the ML stack.
You're probably a match if:
- You have over 5 years of experience building and scaling ML training systems, with hands-on experience in distributed training, model lifecycle management, and large-scale data processing.
- You have a proven track record of designing and implementing foundational AI/ML infrastructure that supports multiple teams and use cases.
- You have experience setting technical direction, making architectural decisions, and influencing engineering practices across organisations.
- You possess a strong understanding of distributed computing, container orchestration (Kubernetes), and cloud infrastructure (preferably AWS).
- You are fluent in Python with deep knowledge of ML frameworks (PyTorch, TensorFlow) and modern tools (W&B, Ray, Anyscale).
- You have a strong understanding of generative AI systems, including LLMs, multimodal models, and foundation model fine-tuning.
- You have the ability to balance long-term platform investments with immediate business needs, making pragmatic technical decisions.
- You have experience working with product teams, research, and other engineering specialties to understand and address diverse technical requirements.
- You have a track record of growing other engineers and contributing to technical culture and standards.
- You have experience with infrastructure-as-code and an understanding of performance optimisation.
- You consider GitOps principles for automation and deployment a plus.
About the team
Canva's GenAI Platform Group is responsible for the delivery of Capabilities and Solutions which support ML and AI initiatives, from early ideation and prototyping, through to scaling to meet the needs of millions of Canva users in production. We empower thousands of engineers and product managers to deliver amazing product features which harness the power of cutting-edge technologies.
Dataset & Training Platform team specifically focuses on the foundational Capabilities that power model training, dataset management, and AI/ML workflows. We're building the infrastructure that enables Canva's AI-first future, supporting everything from generative design models to intelligent automation systems that serve millions of users worldwide.
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 range 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 support you personally
Check out 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.
We celebrate all types of skills and backgrounds at Canva — so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
We see AI as a powerful amplifier of creativity and technology at Canva.We’re evolving how we assess AI skills in our Technology hiring experience - you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side. Your recruitment partner will walk you through what to expect.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.We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!
Please note that interviews are conducted virtually.
#J-18808-LjbffrJob No Longer Available
This position is no longer listed on WhatJobs. The employer may be reviewing applications, filled the role, or has removed the listing.
However, we have similar jobs available for you below.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Data Platform Solution Engineer - Cloud & AI Data Platform - New Zealand
Posted 8 days ago
Job Viewed
Job Description
Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for enterprise customers at Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
**About the role**
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Be The First To Know
About the latest Artificial intelligence Jobs in New Zealand !