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Machine Learning Engineer

Ai ml · Posted 2 months ago

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 experience...

Way of working
Hybrid
Location
Auckland, New Zealand, Melbourne, Australia, Sydney, Australia
Pay range
$150,000 to $180,000
Level
Mid
Experience
4 to 8 years
Type
Full time
Visa sponsorship
Not offered for this role
The company
Software Development · 50 to 200 people

Skills that matter here

PythonPyTorchTensorRT.NETC#Computer VisionLLMsMLOpsOpenCV

The full description

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.

How hiring runs

  1. 1First Interview with Shehan
  2. 2Technical Interview 1
  3. 3Technical Exercise 2
  4. 4Culture Fit Interview

Interested in this one?

There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.

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