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23 часа назад

Principal Engineer (AI/ML Platform)

174 051 - 273 775$
Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Engineer (AI/ML Platform): Developing and refining core infrastructure that empowers engineers and data scientists to create, train, and deploy ML models with an accent on scalable distributed systems and MLOps. Focus on building horizontal AI capabilities, fine-tuning LLMs, and integrating GenAI frameworks into hirify.global products.

Location: Remote in countries where hirify.global has a legal entity, or onsite in Seattle, San Francisco, or Sydney

Salary: $174,051 – $273,775 (base pay depending on geographic zone)

Company

hirify.global is a global software company that develops collaborative products like Jira, Confluence, and Bitbucket to unleash the potential of every team.

What you will do

  • Develop and refine core infrastructure for creating, training, evaluating, deploying, and managing ML models and pipelines.
  • Collaborate with product teams such as Jira and Confluence to solve specific ML implementation challenges.
  • Lead projects from the technical design phase through to launch and delivery.
  • Fine-tune open-source and proprietary Large Language Models (LLMs) and build RAG systems.
  • Mentor junior team members and contribute to a strong engineering culture through code reviews and documentation.

Requirements

  • 5+ years of experience in building Machine Learning and AI infrastructure or platforms.
  • Proven expertise in the end-to-end ML lifecycle, from data engineering to model serving and monitoring.
  • Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX.
  • Deep experience implementing MLOps, CI/CD pipelines, and automation for ML models.
  • Hands-on expertise with major cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (Spark, Ray, or Dask).
  • Experience with GenAI frameworks, including LLM fine-tuning and retrieval-augmented generation (RAG).

Culture & Benefits

  • "Team Anywhere" policy: flexibility to work from home, the office, or a combination of both.
  • Equitable and competitive compensation programs including base pay, bonuses, and equity.
  • Comprehensive health and wellbeing resources.
  • Paid volunteer days to engage with the local community.
  • Inclusive work environment dedicated to diversity and equal opportunity.

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