AI Researcher (PhD), 2026 Graduate Canada
Atlassian
AI Researcher (PhD), 2026 Graduate Canada
Job Description
AI Researcher (PhD), 2026 Graduate Canada
📋 Job Overview
Join Atlassian's Machine Learning Research team to work on advanced AI technologies, focusing on areas like LLMs, Generative AI, and AI Optimization. You will design system and model architectures, conduct experiments, and apply AI/ML to enhance Atlassian products, contributing to Atlassian Intelligence features.
📍 Location: Canada, Canada
🏢 Category: Graduates
📅 Posted: 2025-12-10 10:34 PM
🎯 Key Responsibilities
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Apply AI/ML to various product problems to improve Atlassian products
- Actively contribute to Atlassian Intelligence features
✅ Required Qualifications
- Bachelor's degree or above in Computer Science or a relevant technical field
- Currently enrolled full time in a PhD degree in Computer Science or a relevant technical field and graduating by June 2026
- Strong foundation in AI/ML, LLMs, Optimization and related techniques
- Experience with research, publishing, building and scaling machine learning models using large amounts of data
- Agile development mindset, appreciating the benefit of constant iteration and improvement
- Must be able to obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
⭐ Preferred Qualifications
- Demonstrate proficiency in Python programming and ability to write clean, efficient and well-documented code
- Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
- Demonstrated exposure to natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization
- Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects
- Having publications in top-tier AI conferences or journals will be considered an asset or a plus
- Excels in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
🛠️ Required Skills
- AI/ML
- LLMs
- Optimization
- Python
- NumPy
- Pandas
- Matplotlib
- Hugging Face
- PyTorch
- Natural Language Processing (NLP)
- Computer Vision (CV)
- Reinforcement Learning (RL)
- Agile development
- Problem-solving
- Innovation
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- Canada, Canada
Salary
130,500 - 170,375 CAD / yearly
Estimated Salary Rangemedium confidence
100,000 - 140,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/MLintermediate
- LLMsintermediate
- Optimizationintermediate
- Pythonintermediate
- NumPyintermediate
- Pandasintermediate
- Matplotlibintermediate
- Hugging Faceintermediate
- PyTorchintermediate
- Natural Language Processing (NLP)intermediate
- Computer Vision (CV)intermediate
- Reinforcement Learning (RL)intermediate
- Agile developmentintermediate
- Problem-solvingintermediate
- Innovationintermediate
Required Qualifications
- Bachelor's degree or above in Computer Science or a relevant technical field (experience)
- Currently enrolled full time in a PhD degree in Computer Science or a relevant technical field and graduating by June 2026 (experience)
- Strong foundation in AI/ML, LLMs, Optimization and related techniques (experience)
- Experience with research, publishing, building and scaling machine learning models using large amounts of data (experience)
- Agile development mindset, appreciating the benefit of constant iteration and improvement (experience)
- Must be able to obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment (experience)
Preferred Qualifications
- Demonstrate proficiency in Python programming and ability to write clean, efficient and well-documented code (experience)
- Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch (experience)
- Demonstrated exposure to natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization (experience)
- Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects (experience)
- Having publications in top-tier AI conferences or journals will be considered an asset or a plus (experience)
- Excels in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions (experience)
Responsibilities
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Apply AI/ML to various product problems to improve Atlassian products
- Actively contribute to Atlassian Intelligence features
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
AI Researcher (PhD), 2026 Graduate Canada
Atlassian
AI Researcher (PhD), 2026 Graduate Canada
Job Description
AI Researcher (PhD), 2026 Graduate Canada
📋 Job Overview
Join Atlassian's Machine Learning Research team to work on advanced AI technologies, focusing on areas like LLMs, Generative AI, and AI Optimization. You will design system and model architectures, conduct experiments, and apply AI/ML to enhance Atlassian products, contributing to Atlassian Intelligence features.
📍 Location: Canada, Canada
🏢 Category: Graduates
📅 Posted: 2025-12-10 10:34 PM
🎯 Key Responsibilities
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Apply AI/ML to various product problems to improve Atlassian products
- Actively contribute to Atlassian Intelligence features
✅ Required Qualifications
- Bachelor's degree or above in Computer Science or a relevant technical field
- Currently enrolled full time in a PhD degree in Computer Science or a relevant technical field and graduating by June 2026
- Strong foundation in AI/ML, LLMs, Optimization and related techniques
- Experience with research, publishing, building and scaling machine learning models using large amounts of data
- Agile development mindset, appreciating the benefit of constant iteration and improvement
- Must be able to obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
⭐ Preferred Qualifications
- Demonstrate proficiency in Python programming and ability to write clean, efficient and well-documented code
- Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
- Demonstrated exposure to natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization
- Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects
- Having publications in top-tier AI conferences or journals will be considered an asset or a plus
- Excels in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
🛠️ Required Skills
- AI/ML
- LLMs
- Optimization
- Python
- NumPy
- Pandas
- Matplotlib
- Hugging Face
- PyTorch
- Natural Language Processing (NLP)
- Computer Vision (CV)
- Reinforcement Learning (RL)
- Agile development
- Problem-solving
- Innovation
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- Canada, Canada
Salary
130,500 - 170,375 CAD / yearly
Estimated Salary Rangemedium confidence
100,000 - 140,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/MLintermediate
- LLMsintermediate
- Optimizationintermediate
- Pythonintermediate
- NumPyintermediate
- Pandasintermediate
- Matplotlibintermediate
- Hugging Faceintermediate
- PyTorchintermediate
- Natural Language Processing (NLP)intermediate
- Computer Vision (CV)intermediate
- Reinforcement Learning (RL)intermediate
- Agile developmentintermediate
- Problem-solvingintermediate
- Innovationintermediate
Required Qualifications
- Bachelor's degree or above in Computer Science or a relevant technical field (experience)
- Currently enrolled full time in a PhD degree in Computer Science or a relevant technical field and graduating by June 2026 (experience)
- Strong foundation in AI/ML, LLMs, Optimization and related techniques (experience)
- Experience with research, publishing, building and scaling machine learning models using large amounts of data (experience)
- Agile development mindset, appreciating the benefit of constant iteration and improvement (experience)
- Must be able to obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment (experience)
Preferred Qualifications
- Demonstrate proficiency in Python programming and ability to write clean, efficient and well-documented code (experience)
- Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch (experience)
- Demonstrated exposure to natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization (experience)
- Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects (experience)
- Having publications in top-tier AI conferences or journals will be considered an asset or a plus (experience)
- Excels in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions (experience)
Responsibilities
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Apply AI/ML to various product problems to improve Atlassian products
- Actively contribute to Atlassian Intelligence features
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories