Senior Machine Learning Engineer

The role

You will drive the development of predictive systems to solve real-world challenges for farmers. This involves end-to-end development of machine learning pipelines, from architectural design and dataset construction to deployment and monitoring.

What you will do

• Drive development of predictive systems to solve real-world challenges faced by farmers.
• Conduct extensive literature reviews in technical and agriculture fields.
• Stay ahead of the curve in machine-learning systems and pasture science.
• Own architectural design, dataset construction, training, and optimization of models.
• Support work in production and learn from system behavior in the field.
• Proactively deliver innovative ideas through creativity.

Required qualifications

• Deep academic and/or professional background applying machine learning to solve real-world problems.
• Research oriented postgraduate degree in mathematics or computer science with relevance to modelling with deep neural networks.
• Demonstrated experience designing, deploying, and monitoring machine learning systems to production.
• Strong causal reasoning and ability to design models that reflect real-world dynamics.
• Strong data intuition and ability to work with noisy, high volume, high-dimensional datasets.
• Fluency in Python.
• Experience contributing to or working on complex, collaborative codebases.
• Proficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code).
• Excellent communication skills.
• Collaborative working style across disciplines.

Nice to have

• Some experience in advanced ML architectures (Transformers or SSM)
• Agent-based systems
• Recommendation systems

Benefits

• Personal growth fund

Before you apply

• Send a cover letter explaining why you are excited about this role and working at Halter along with your CV.

About the company

Halter is on a mission to enable farmers and graziers to run productive and sustainable operations. The company is backed by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab’s Peter Beck and Icehouse ventures.