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6 дней назад

Senior Software Engineer (AI/ML)

Формат работы
remote (только Australia/New_zealand)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia/NZ
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI/ML): Building core infrastructure that enables Atlassian teams to create, train, evaluate, deploy, and manage machine learning models and pipelines with an accent on end-to-end ML systems, distributed architecture, and generative AI. Focus on designing scalable ML platforms, integrating LLM and RAG capabilities, optimizing performance, and leading projects from technical design through launch.

Location: Remote, with hiring listed for Australia and New Zealand; hirify.global can hire in countries where it has a legal entity.

Company

hirify.global develops collaborative software products including Jira, Confluence, and Bitbucket.

What you will do

  • Develop and refine core AI and ML platform infrastructure for creating, training, evaluating, deploying, and managing models and pipelines.
  • Design scalable, fault-tolerant, and high-performance distributed systems for machine learning.
  • Collaborate with product teams such as Jira and Confluence to solve ML implementation challenges.
  • Curate ML datasets, fine-tune open-source LLMs, and integrate proprietary language models.
  • Lead projects from technical design through launch, including code reviews, documentation, and bug fixes.
  • Partner across engineering teams and mentor junior engineers.

Requirements

  • 5+ years of experience building machine learning and AI infrastructure, platforms, or systems.
  • End-to-end ML lifecycle experience covering data engineering, model serving, deployment, and monitoring.
  • Strong Python proficiency and familiarity with PyTorch, TensorFlow, or JAX.
  • Experience designing large-scale distributed systems and solving infrastructure or performance challenges.
  • Experience with MLOps, CI/CD pipelines, and automation for continuous model training, deployment, and monitoring.
  • Ability to collaborate across engineering teams and lead technical projects.

Nice to have

  • Experience with AWS, GCP, or Azure and AI/ML cloud services, including GPU compute.
  • Experience with Spark, Ray, or Dask for large-scale data processing.
  • Experience with GenAI frameworks, LLM fine-tuning, and retrieval-augmented generation systems.
  • Experience with Go, Java, or Scala.

Culture & Benefits

  • Flexible remote, office, or hybrid work arrangements.
  • Products used by teams and customers across many industries.
  • Health and wellbeing resources.
  • Paid volunteer days and additional employee benefits.
  • Equitable and competitive compensation programs, with potential benefits, bonuses, commissions, and equity.

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