2 месяца назад
Machine Learning Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Predictive Agricultural Systems): Building advanced machine-learning models and production pipelines for pasture growth, land properties, and animal health and activity with an accent on causal reasoning, noisy high-dimensional data, and real-world agricultural modelling. Focus on researching novel modelling approaches, designing and optimizing custom architectures, and deploying and monitoring predictive systems in production.
Location: Auckland, New Zealand; on-site with office-first attendance as the default
Company
develops technology that helps farmers and graziers run more productive and sustainable grazing operations.
What you will do
- Develop predictive systems for biological processes, pasture growth, land properties, and farm operations.
- Conduct technical and agricultural literature reviews and translate research into practical applications.
- Own model architecture, dataset construction, training, optimization, and end-to-end machine-learning pipelines.
- Deploy and monitor models in production, learning from system behavior in the field.
- Work across infrastructure, databases, simulation, and machine-learning development.
- Collaborate with engineering, product, design, and data specialists to deliver systems that improve farm operations.
Requirements
- Deep academic or professional experience applying machine learning to real-world problems, including deep neural networks.
- Experience designing, deploying, and monitoring complex machine-learning systems in production.
- Strong causal reasoning and the ability to model 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.
- Excellent communication skills, collaborative working style, and curiosity about pasture-based farming.
Nice to have
- Experience with advanced machine-learning architectures such as Transformers or SSMs.
- Experience with agent-based systems or recommendation systems.
Culture & Benefits
- Meaningful work focused on improving farmers' livelihoods and sustainable operations.
- High-performance, collaborative, and inclusive in-person office culture.
- Autonomy, continuous learning, and opportunities to master new skills.
- $1,000 personal growth fund.
- Office-first rather than office-only flexibility within a high-trust culture.
Hiring process
- Submit a cover letter explaining interest in the role and , together with a CV.
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