PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Apply classic machine learning and data techniques alongside emerging AI methods to automatically generate insights from vast amounts of customer data, starting in the sales domain.
- Help productise and scale a new Insights SaaS product, combining Phocas’ customer knowledge and modern data techniques to deliver measurable impact.
- Work with real-world, messy data across global customers, balancing pragmatism with innovation.
- Collaborate in a product team that values fast feedback, close customer collaboration, and shipping products people genuinely love and use every day.
Requirements
- Hands-on ML & data skills — experience applying machine learning, statistical, or data engineering techniques to real-world problems, ideally in a commercial SaaS or product context.
- Engineering mindset — ability to build scalable, reliable solutions that work with messy, complex data at production scale.
- Pragmatism with curiosity — excited about new AI/ML methods but grounded enough to ship things that work and deliver value fast.
- Growth mindset — eager to learn, adapt, and keep improving, both in your craft and as part of a team.
- Sense of urgency — bias for action and focus on outcomes; you know how to balance exploration with delivery.
- Collaboration first — a great communicator who enjoys working closely with product managers, engineers, and customers to co-create solutions, as part of an empowered team.
- Must have current NZ working rights (due to visa settings and processing times).
Benefits
- The people – we hear it all the time: our team is the #1 reason people love working here.
- Plenty of fun and social events – including the occasional silly game and lots of food.
- 10% professional development time – every engineer gets one day per fortnight for learning.
- A sunny Sydenham office with lots of space and parking for all types of wheels.
- Southern Cross health insurance, life, TPD, and income protection cover.
- Extra paid parental leave.
- Flexible/hybrid working options.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
NO
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