Lead Machine Learning Engineer — Ai Strategy & Delivery

Mantel; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation and equity

Health insurance

5% kiwisaver contribution

EAP & wellbeing support

Job summary

Timescapes is seeking a Machine Learning Engineer to join our growing team. You will work with the product and engineering teams to develop ML models (computer vision) and integrate them into our products, tracking activity and progress on construction sites.

You will run experiments with LLMs and other generative AI models, decide between custom development vs off-the-shelf models, and build software to manage the ML lifecycle including data management, labeling, and training.

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• Production ML software systems with core ML components experience.
• CV models development from data and model sides.
• End-to-end ML operations: data, labeling, training, CI, versioning, monitoring.
• Experience with LLMs, LVMs, and multimodal models.

Responsibilities

• Design, develop, integrate, and support ML models for construction problems.
• Run experiments with LLMs and other large-scale generative AI models.
• Develop software to manage ML lifecycle: data management, labeling, training.
• Source training data and integrate it into the ML lifecycle.

Skills

Production ML

Computer vision

ML lifecycle

LLMs/LVMs multimodal

ML validation

ML inference deployment

SDLC integration

Education

Bachelor’s degree in CS/Engineering

Tools

PyTorch

TensorRT

.NET

C#

Python

Job 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 us

Founded in New Zealand in 2017, Timescapes is a visual progress tracking solution for complex construction projects – our mission is to simplify construction through shared visibility. Customers value Timescapes because it helps them stay on schedule, validate construction claims and communicate progress more effectively.

We’re a rapidly growing company, and are used by some of the largest construction firms across Australia, Canada, New Zealand and the United States. We’re deliberate and thoughtful in everything that we do, and we emphasise awareness, speed and quality in our approach to product development.

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.

Requirements

Essential Skills / Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with the development and delivery of production‑level software systems that feature critical machine learning components.
• Experience with the development of computer vision models, from the data side as well as the model side.
• Experience with end‑to‑end ML operations, including data acquisition, labeling, model training, pipeline design + management, continuous integration, model versioning, and performance monitoring.
• Experience with leveraging LLMs, LVMs and multimodality models to augment product capabilities, including strong experimentation skills, and the ability to combine off‑the‑shelf commercial model capabilities with custom ML models.
• Familiarity with methods for ML model validation and verification.
• Experience deploying ML inference infrastructures for systems with high throughput.
• Ability to develop ML‑enabled product capabilities in the context of the entire SDLC, from initial concepts through detailed design, development, deployment and maintenance.

Other Preferred Skills / Qualifications

• Experience with deep learning frameworks e.g. PyTorch
• Familiarity with inference engines e.g. TensorRT
• Experience with developing edge ML applications
• Experience writing with .NET, C# and Python

About you

• Value‑oriented: we’re focussed on ensuring that Timescapes as a business gets genuine value from engineering investments. You’ll be someone who sees methodologies, best practices and patterns as useful tools, but you don’t blindly adopt them and never let them get in the way of great customer outcomes.
• Obsessed with the “why”: you’re someone who cares about the details, and you take pride in sharing your rationale for every decision you make. You question things that don’t make sense, and you expect others to do the same.
• All about the editing: when it comes to great solutions, we don’t believe you generally nail it on the first attempt. You’re someone who’s not afraid to leave a lot of ideas on the cutting room floor, and you intuitively understand that the first release is just the beginning.
• Adaptable and creative: as a small company doing ambitious things, we don’t always have the right answer, and we know that what’s worked in the past may not work in the future, but we’re not deterred by the unknown, and we’re excited about trying new things and finding our way through.
• Communication matters: in addition to communicating clearly and succinctly, you’re also a natural relationship‑builder, and you’re equally comfortable on Slack/email, video calls and in person.

Benefits

This is your chance to help build something meaningful - technology that genuinely makes construction better while working with people who care about doing great work.

We're at an exciting stage where your decisions will directly impact our trajectory as we scale globally.

We offer

• Competitive compensation and equity package
• Health insurance
• 5% kiwisaver contribution
• EAP & wellbeing support

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Employment Conditions

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Application Note

We require reasonable accommodations for individuals with disabilities. Please let us know if you require adjustments as part of the application and recruitment process.