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Senior Machine Learning Engineer Job Opening In Auckland – Now Hiring Leonardo.Ai


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Leonardo.Ai is building one of the world’s highest-throughput Generative AI platforms, enabling millions of users, from beginners to professionals, to create high-quality images and videos with ease.

Now part of the Canva family, we’re growing our global R&D team to deliver AI tools, products, and infrastructure that make creativity limitless for nearly a quarter of a billion users.
The Role:
We’re looking for a Senior Machine Learning Engineer to join our Platform Tribe, the team that provides the tools, infrastructure, and expertise that help every other product team at Leonardo move faster.
In this role, you’ll work at the intersection of Generative AI and MLOps.

You’ll partner with researchers and engineers, be embedded in other teams for high-impact projects, and help design the pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features, making creativity accessible to millions of people.
Your work will have a direct and visible impact: you’ll enable teams across Leonardo to deliver AI-powered features faster, more reliably, and at scale.
What You’ll Do:
Generative AI & Inference:

  • Collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value.

  • Build and maintain production pipelines for diffusion-based and related generative models (e.g. LoRA, ControlNet).

  • Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.

  • Tackle complex challenges like orchestrating multi-GPU video pipelines while ensuring systems are intuitive and maintainable.
MLOps & Infrastructure:
  • Develop and maintain automated MLOps pipelines covering training, deployment, monitoring, and retraining.

  • Build CI/CD workflows for machine learning that make handovers from research to production seamless and safe.

  • Create scalable data pipelines and storage solutions to support high-throughput workloads.

  • Set up clear monitoring and alerting for model performance (e.g. Prometheus, Grafana, CloudWatch).

  • Design secure, reliable infrastructure on AWS (S3, EC2, SageMaker) using Infrastructure-as-Code tools like Terraform.
Platform Acceleration:
  • Be embedded in other teams, from Generations to Enterprise, to support high-impact projects requiring deep ML expertise.

  • Develop shared tooling, reusable workflows, and architecture patterns that help teams across Leonardo build and ship faster.

  • Promote knowledge-sharing, best practices, and scalable solutions across the organisation.
Skills We Love:
  • Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.

  • MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.

  • Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).

  • Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.

  • Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).

  • Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.

  • Collaboration & Growth: Thrive in cross-functional teams, value open feedback, and enjoy supporting others’ success while learning continuously.
Our Culture:
  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.

    At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance.

    Enjoy the flexibility to work remotely or from our vibrant offices.

    We have employees all over the world, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority.

    We offer continuous learning opportunities and career growth tailored to your goals.

    You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI.

    You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.
Leonardo.Ai Benefits:
  • 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:
  • Impact the future of AI
  • Reward package including equity - we want our success to be yours too
  • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave
  • 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, including remote working abroad
  • Support with your professional development
  • Fun and engaging company events, both virtual and in-person
  • 20 days annual leave
Please apply…
We’re realistic about experience, even if you haven’t worked at this scale before.

We encourage anyone exposed to deploying generative models to production, working with techniques like LoRA or diffusion, and optimising inference across GPUs to apply for this role.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Technology, Information and Internet

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Required Skill Profession

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Unlock Your Senior Machine Potential: Insight & Career Growth Guide


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Are You Looking for Senior Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Senior Machine Learning Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Leonardo.Ai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Senior Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Auckland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Machine Learning Engineer?

Key qualifications for Senior Machine Learning Engineer typically include Networks & Systems and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Machine Learning Engineer?

To improve your chances of getting hired for Senior Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Machine Learning Engineer Job Success

Leonardo.Ai interview tips for Senior Machine Learning Engineer

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Leonardo.Ai's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Machine Learning Engineer interview at Leonardo.Ai, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Leonardo.Ai's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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