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Halter

Data-driven pasture management for dairy farms

Lead Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAuckland, New ZealandNo salary listed

About the Job

Requirements

  • A deep academic and/or professional background applying machine learning to solve real-world problems.
  • Demonstrated experience designing, deploying, and monitoring machine-learning systems in production.
  • Strong causal reasoning and the ability to design models that reflect real-world dynamics.
  • Strong data intuition and the ability to work with noisy, high-volume, high-dimensional datasets.
  • Fluency in Python and experience contributing to or working on complex, collaborative codebases.
  • Proficiency with contemporary AI companion tools and agents for software and engineering productivity, such as Copilot, ChatGPT, Cursor, and Claude Code.
  • Ability to work autonomously across infrastructure, databases, simulation, and machine-learning development.
  • Machine-learning theory and its application to maximizing pasture efficiency.
  • Experience translating academic research into practical applications.
  • Curiosity and willingness to learn about pasture-based farming.
  • Ability to map opportunities across farm data to systems that add value to farmers and ranchers.
  • Ability to work effectively amid uncertainty and ambiguity.

Responsibilities

  • Drive development of predictive systems to solve real-world challenges faced by farmers.
  • Conduct literature reviews and stay current with machine-learning systems and pasture science.
  • Design model architectures and own model development phases, including dataset construction, training, and optimization.
  • Support machine-learning work in production and learn from system behavior in the field.
  • Exercise creativity to proactively deliver innovative ideas.
  • Own end-to-end development of machine-learning pipelines, including modeling, deployment, and monitoring.
  • Collaborate with engineering, product, and design teammates to deliver results.

Desired Qualifications

  • Experience with advanced machine-learning architectures such as Transformers or state-space models (SSM), agent-based systems, or recommendation systems.

About the Company

Halter

Data-driven pasture management for dairy farms

Halter provides data-driven pasture management for dairy farms. It delivers daily updates on pasture covers, growth rates, and leaf emergence by combining satellite imagery, local weather, biophysical models, grazing data, and seasonal trends. Farmers use the information to decide where and when to graze, optimize fencing and shifting of livestock, and allocate pasture efficiently to boost animal performance. The platform also hosts a community where farmers share experiences and best practices. Halter’s subscription-based service gives farmers ongoing access to the data and tools they need to run their operation more productively and profitably. Goals include helping farmers maximize pasture use and animal productivity, improve resilience to environmental changes, and build a collaborative farming community.

Company size
501-1,000
Company stage
Series E
Total funding
$428M
Headquarters
Auckland, New Zealand
Founded
2016

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