Machine Learning Engineer
- Location
- Auckland, Dallas +4
- Workplace
- Hybrid
- Compensation
- NZD 150k – NZD 185k + equity
- Visa
- No Visa Sponsorship
About this role
Timescapes is looking for a Machine Learning Engineer to join our small, but growing team of high-performers. We’re after someone who approaches problems from first principles, honing in on underlying causes and diligently iterating towards the best solution. We believe that great products feature incredible experiences that customers never want to stop using.
About the role
As our second dedicated ML / AI hire at Timescapes, you’ll be working closely with our product and engineering team to develop ML models (computer vision) and incorporate them into our existing (and new) product capabilities.
Key aspects of the role include
Working closely with other members of the AI / ML team to design, develop, integrate and support machine learning models, to solve specific construction problems related to tracking activity and progress on civil, institutional and commercial sites.
Running experiments with LLMs and other large-scale generative AI models during problem and solution exploration, and determining when to invest in custom development vs leveraging off-the-shelf models.
Developing software to manage the ML lifecycle, including data management, labeling and training.
Sourcing training data, curating it for quality, and determining how best to integrate it into the ML lifecycle.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Deliberate and thoughtful in everything the company does
Emphasise awareness, speed and quality in approach to product development
Customer value comes first — Success is directly connected to the value delivered to customers
Act with intent — Great outcomes are achieved through thoughtful and deliberate action
1% better every day — Relentless and rapid improvement compounds over time
Simple, but not easy — Strive for simplicity while embracing the complexity required to achieve it
Know someone who'd be great for this?
