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Staff Machine Learning Engineer Position in Auckland - Marlee


Job description

About the company Fast-track your career with the Marlee Talent Pool.


We're not just matching you with your ideal roles but unlocking your long-term career potential.


Marlee goes above and beyond by identifying key strengths for your CV, helping you discover a career direction you might not have considered where you can truly thrive, and guiding you to develop those essential soft human skills that close gaps in your resume.


Marlee's innovative approach then places you in teams where you'll flourish.


Using cutting-edge motivational science, we connect you with roles in teams and within organizations that make your heart sing and help our partners build their dream teams.


About the role Our partner is on the lookout for a   hands-on and highly skilled Staff Machine Learning Engineer   to pioneer innovative AI solutions within a new domain.


Prior experience in brand management isn’t required—but curiosity, adaptability, and an eagerness to shape the future of brand-focused AI is essential.


What you’ll do: Enhancing and evolving a robust Brand Knowledge system to interpret and enforce brand guidelines intelligently Building AI models that find the sweet spot between brand consistency and creative freedom Developing and refining Brand Assist tools that provide proactive and adaptive brand guidance Scaling agent-based AI systems that power real-time analytics and intelligent auditing Applying advanced AI methodologies (LLMs, multimodal models, RAG) to elevate brand intelligence Working collaboratively with cross-functional teams to launch scalable, AI-driven brand experiences Making brand guidelines more data-informed through continual performance insights Prototyping novel AI concepts that push the boundaries of compliance and user experience Becoming a go-to expert in Brand AI, helping influence the long-term vision and roadmap What makes you ideal?


Bring deep experience in machine learning engineering and deploying scalable ML systems Have led cross-functional projects and shipped AI-powered features to production Thrive in fast-paced, collaborative environments and enjoy mentoring others Have hands-on experience with modern AI stacks—LLMs, RAG, multimodal models, and agent-based systems Balance technical innovation with user experience and business impact Can build real-time pipelines and ML architectures from scratch or by adapting existing systems Have a strong sense of ownership and autonomy in delivering results Communicate and collaborate effectively with designers, engineers, and business leads Are curious, always learning, and excited to bring AI to life in new, impactful ways Powered by JazzHR

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Staff Machine Potential: Insight & Career Growth Guide


Real-time Staff Machine Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Staff Machine in Auckland, New Zealand, highlighting market share and opportunities for professionals in Staff Machine roles.

1177 Jobs in New Zealand
1177
122 Jobs in Auckland
122
Download Staff Machine Jobs Trends in Auckland and New Zealand

Are You Looking for Staff Machine Learning Engineer Job?

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

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Marlee 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 Staff 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 Staff Machine Learning Engineer?

Key qualifications for Staff Machine Learning Engineer typically include Computer Occupations 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 Staff Machine Learning Engineer?

To improve your chances of getting hired for Staff 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 Staff Machine Learning Engineer Job Success

Marlee interview tips for Staff Machine Learning Engineer

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

Before the Interview:

Research: Learn about the Marlee'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 Staff Machine Learning Engineer interview at Marlee, 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 Marlee'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!

How to Set Up Job Alerts for Staff Machine Learning Engineer Positions

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