3 days ago
Auckland, New ZealandStaff+
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.
Tech Stack
Categories
About Halter
Halter builds a livestock management system combining solar-powered smart collars, farm sensors, and software to virtually fence, move, and monitor herds. It sells hardware with a subscription platform to dairy and grazing farmers, letting them remotely shift cattle and track health and behavior. Founded in 2016 and headquartered in Auckland, New Zealand, the privately held company is backed by investors including DCVC and Blackbird.