Lead Hardware Engineer jobs in Parnell – Browse 2 openings on RoboApply Jobs

Lead Hardware Engineer jobs in Parnell

Open roles matching “Lead Hardware Engineer” with location signals for Parnell. 2 active listings on RoboApply Jobs.

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Full-time|On-site|Parnell, Auckland, New Zealand

Founded in 2017, Timescapes is revolutionizing the construction industry by offering innovative solutions that streamline project tracking, validation, and communication through real-time reality capture. Our clients appreciate our commitment to ensuring they stay on schedule and effectively communicate project milestones to all stakeholders.As a rapidly exp…

Jan 29, 2026
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Full-time|On-site|Parnell, Auckland, New Zealand

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 UsSince 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 RoleAs 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.

Jan 29, 2026

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