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Lead Machine Learning Engineer

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Lead Machine Learning Engineer in Others

  • Auckland, New Zealand

Responsibilities

  • Model biological processes and farm operations to build predictive systems for real-world agricultural challenges.
  • Conduct technical and agricultural literature reviews and remain current with machine learning and pasture science.
  • Design datasets and model architectures, then train and optimize advanced machine learning models.
  • Own end-to-end machine learning pipelines through deployment and production monitoring.
  • Support systems in production, learn from field behavior, and proactively develop innovative solutions.
  • Collaborate with engineering, product, and design teams to deliver systems that improve farm operations.

Requirements

  • Deep academic and/or professional experience applying machine learning to real-world problems, potentially including a research-oriented postgraduate degree in mathematics or computer science.
  • Demonstrated experience designing, deploying, and monitoring machine learning systems in production.
  • Strong causal reasoning and ability to design models reflecting real-world dynamics.
  • Strong data intuition and experience with noisy, high-volume, high-dimensional datasets.
  • Fluency in Python and experience contributing to complex collaborative codebases.
  • Ability to work autonomously across infrastructure, databases, simulation, and machine learning development.
  • Curiosity about pasture-based farming and willingness to develop agricultural domain expertise.
  • Excellent communication and cross-disciplinary collaboration skills.
  • Experience with Transformers, SSMs, agent-based systems, or recommendation systems is advantageous but not required.
  • Proficiency with AI companion and engineering productivity tools such as Copilot, ChatGPT, Cursor, and Claude-code.

Benefits

  • Meaningful work supporting more sustainable and productive farming operations.
  • A high-performing, collaborative team working on complex technical challenges.
  • Autonomy, learning, and continuous professional development, including a $1,000 personal growth fund.
  • Office-first work arrangement with office attendance as the default and flexibility when needed.
  • Diverse and inclusive workplace culture.

Halter

Halter is an AgTech startup that provides farmers and graziers with solar-powered smart cow collars and a user-friendly app for efficient herd management. Our innovative technology allows customers to optimize grazing practices, enhancing productivity and sustainability while moving away from tra...

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