ZOZO LogoZOZO New Zealand
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Got questions?We've got answers.

Frequently Asked Questions

Here are some of the most common things people ask us — about who we are, how we hire, what it's like to work here, and how to get involved.

General Employment & Company

We focus on apparel-related technology, algorithm development, machine learning, and rapid prototyping as part of the global ZOZO Group.

We regularly hire for Machine Learning and AI-focused positions. Check our Careers page or reach out to HR for current opportunities.

Yes. We offer internship and graduate opportunities depending on project needs and funding cycles (e.g., MBIE internships-formerly Callaghan internships).

Application & Recruitment

You can apply directly through the job links on our Careers page. Alternatively, you can send your CV using the "Send us your CV" button or email it to zozonz-recruit@zozo.com.

A CV, links to relevant work (GitHub, portfolio), and a brief cover message are usually sufficient.

Our typical process includes:

  1. CV review
  2. Introductory call with HR
  3. Skills testing
  4. Technical and team interviews

On average, 3–6 weeks, depending on role complexity and availability.

Yes — we welcome international applicants and are an accredited employer for the Accredited Employer Work Visa (AEWV).

Workplace, Culture & Policies

Collaborative, casual, and innovation driven. We operate as a small team making a big impact.

Yes. We have a hybrid work model that allows staff to work from home two days a week (depending on the position).

Our benefits include flexible working arrangements, wellness support, and opportunities to participate in global ZOZO initiatives.

Our team works in a hybrid setup. Employees typically work three days per week from the office and two days remotely. The specific in-office days are assigned by each team to support collaboration and project needs.

HR & Employment Support

We run periodic performance and development check-ins focused on growth, alignment, and career progression.

We support ongoing learning through online courses, conferences, and internal skill-building, including dedicated Personal Development days.

Intern /Graduate-Specific

Yes - our internships are fully paid.

Absolutely. Interns contribute directly to engineering, machine learning, and product initiatives.

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