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8 дней назад

Software Engineer (AI/ML)

94 500 - 123 375CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (AI/ML) (Atlassian Grad++): Building production-ready features for Jira, Confluence, and Trello with an accent on scalable software, AI/ML integrations, and distributed systems. Focus on owning projects end to end, designing data pipelines and model-serving architectures, and solving complex data-processing and user-experience challenges.

Location: Must be willing and able to work in Burnaby, Richmond, or Vancouver, British Columbia, Canada.

Base pay: CA$94,500–CA$123,375 per year, with potential eligibility for benefits, bonuses, commissions, and equity.

Company

hirify.global develops collaboration software including Jira, Confluence, and Trello for teams worldwide.

What you will do

  • Develop scalable, production-ready features for hirify.global products.
  • Own features from design and implementation through testing, deployment, and production monitoring.
  • Collaborate with senior engineers, product managers, and designers in Agile teams.
  • Contribute to AI-powered features, integrations, agentic systems, and intelligent automation.
  • Solve technical problems involving distributed systems, data processing, and user experience optimization.

Requirements

  • Currently enrolled full time in a bachelor's or master's degree program in Computer Science, Software Engineering, or a related technical field, with graduation by August 2027.
  • Experience with Python, Java, or another modern object-oriented language.
  • Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, with an understanding of machine learning fundamentals.
  • Software development experience through internships, work experience, projects, or publications.
  • Knowledge of APIs, cloud platforms, data structures, algorithms, statistical concepts, and modern system design patterns.
  • Employer sponsorship for work authorization is not available at the time of hire.

Nice to have

  • Exposure to agentic AI systems, autonomous agents, MCP, function calling, and AI-assisted development.
  • Experience with AI/ML architectural patterns such as data pipelines, model serving, and microservices.

Culture & Benefits

  • Grad++ provides hands-on technical training, mentorship, professional growth, and social connections.
  • Work with senior engineers and cross-functional partners using Agile and lean practices.
  • Health and wellbeing resources and paid volunteer days.
  • Support for accommodations or adjustments throughout the recruitment process.

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