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Machine Learning Engineer at Timescapes | Parnell, Auckland

TimescapesParnell, Auckland, New Zealand
On-site Full-time

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Experience Level

Experience

Qualifications

Essential Skills / QualificationsBachelor's degree in Computer Science, Engineering, or a related discipline. Proven experience in developing and deploying production-level software systems with integral machine learning components. Expertise in developing computer vision models from both data and model perspectives. Comprehensive understanding of end-to-end ML operations, including data acquisition, labeling, model training, pipeline design, continuous integration, model versioning, and performance monitoring. Experience in leveraging LLMs, LVMs, and multimodal models to enhance product features, demonstrating strong experimental skills and the capacity to integrate commercial models with custom ML solutions. Familiarity with ML model validation and verification methodologies.

About the job

Join our dynamic team at Timescapes as a Machine Learning Engineer, where we are dedicated to revolutionizing the construction industry through innovative technology. We seek an analytical thinker who can dissect complex problems and develop effective machine learning solutions. Our commitment is to deliver exceptional products that create memorable experiences for our users.

About Us

Since our founding in New Zealand in 2017, Timescapes has been at the forefront of visual progress tracking for intricate construction projects. Our goal is to enhance construction efficiency through improved transparency and communication. Our solutions are trusted by leading construction firms across Australia, Canada, New Zealand, and the United States, enabling them to manage timelines, verify claims, and communicate project progress seamlessly.

As a rapidly expanding organization, we prioritize thoughtful and strategic approaches in our product development, emphasizing speed, quality, and awareness.

About the Role

As our second dedicated ML/AI engineer, you will collaborate closely with our product and engineering teams to design and implement machine learning models, particularly in computer vision, enhancing our existing and future product features. Key responsibilities include:

  • Collaborating with AI/ML team members to design, develop, and integrate machine learning models aimed at solving construction-related challenges concerning activity tracking and progress monitoring on various sites.
  • Conducting experiments with large language models (LLMs) and other generative AI frameworks, assessing the feasibility of custom developments versus utilizing existing models.
  • Creating software for managing the machine learning lifecycle, including data management, labeling, and training processes.
  • Acquiring and curating training data to ensure high quality and optimal integration into the ML lifecycle.

About Timescapes

At Timescapes, we are committed to transforming the construction landscape with our state-of-the-art visual progress tracking solutions. Our innovative approach not only improves project transparency but also enhances communication among stakeholders. With years of industry experience, we have established ourselves as a trusted partner for major construction firms in multiple countries.

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