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обновлено 12 дней назад

Senior/Principal ML Engineer (AI)

Формат работы
remote (только New_zealand)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
NZ

Описание вакансии

Текст:
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TL;DR
Senior/Principal ML Engineer (AI): Developing and optimizing AI algorithms for medical diagnostic products with an accent on foundation models and self-supervised learning. Focus on building scalable training pipelines, rigorous evaluation of generative AI models, and translating research into production-grade medical software.

Location: New Zealand (Remote)

Company

hirify.global is a healthcare technology company building diagnostic AI solutions to scale global healthcare capacity and improve patient outcomes.

What you will do

  • Develop and prototype AI algorithms for healthcare applications using foundation models and self-supervised learning.
  • Optimize model training pipelines for accuracy, scalability, and rapid experimentation.
  • Apply software engineering best practices including test-driven development and rigorous validation.
  • Evaluate generative AI models and collaborate with teams training models at scale.
  • Benchmark state-of-the-art techniques and document technical progress.

Requirements

  • Must be based in New Zealand
  • Extensive experience in an ML engineering or applied research role.
  • Strong proficiency in Python and deep learning frameworks like PyTorch.
  • Hands-on experience building foundation models and self-supervised learning methods.
  • Honours degree or higher in Computer Science or equivalent quantitative background.
  • Experience evaluating generative AI models and working with large-scale training.

Nice to have

  • Experience with healthcare data and product development.
  • Background in distributed training, AWS cloud development, computer vision, or NLP.
  • PhD in Machine Learning or equivalent research experience.
  • Publications or open-source contributions in foundation models or generative AI.

Culture & Benefits

  • Flexible work arrangements including WFH options and flexible hours.
  • Yearly learning and development budgets with mentoring and hackathon opportunities.
  • Inclusive family support policies covering all stages of parenthood.
  • Global, well-funded environment backed by world-class investors.
  • Culture focused on trust, autonomy, and meaningful impact on patient lives.