6 дней назад
Senior Software Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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; can hire in countries where it has a legal entity.
Company
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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