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7 дней назад

Senior Machine Learning Engineer (AI)

Формат работы
remote (только Australia/new_zealand)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia, NZ
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing ML services for the Visual Suite platform with an accent on debugging complex AI implementations, optimizing inference performance, and developing blueprints that allow others to follow proven patterns. Focus on acting as a force multiplier, enabling product teams to move faster, and solving technical challenges in a high-velocity environment.

Location: Remote-friendly within Australia or New Zealand. Flexible work from one of our campuses (Sydney, Melbourne, Brisbane, Perth, Adelaide, Auckland NZ), from home, or a mix of both.

Company

hirify.global is redefining how the world experiences design, offering a variety of services that underpin the product verticals that make up the Visual Suite (Docs, Email, Sheets, Presentations, Websites, and Whiteboards).

What you will do

  • Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
  • Partner directly with product teams to navigate technical challenges and arrive at effective solutions.
  • Provide expert guidance on platform capabilities.
  • Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches.
  • Debug and resolve complex issues across the full ML stack, sharing learnings broadly.
  • Balance hands-on problem solving with strategic thinking about how to scale enablement impact across the organisation.

Requirements

  • Demonstrated Python expertise with experience in ML frameworks.
  • Commercial experience working with Kubernetes (K8s).
  • Experience or knowledge of building data pipelines.
  • Experience or knowledge of model evaluations.
  • Experience with inference optimisation and serving infrastructure.
  • Experience supporting or working closely with research, data science, or product teams.
  • Excellent debugging and problem-solving skills across the full ML stack.
  • Ability to context-switch effectively across multiple concurrent projects.
  • Proven communication skills with the ability to explain complex technical concepts to varied audiences.
  • A collaborative mindset with a focus on enabling others to succeed.
  • Must be based within Australia or New Zealand.

Nice to have

  • Working knowledge of Java.
  • Exposure to Terraform.

Culture & Benefits

  • Equity packages.
  • Inclusive parental leave policy that supports all parents & carers.
  • An annual Vibe & Thrive allowance to support wellbeing, social connection, and office setup.
  • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally.
  • Strong culture of growth and cross-team collaboration.

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