Senior/Principal ML Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
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
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.
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