PhD AI Research Intern, 2026 Summer Canada
Atlassian
PhD AI Research Intern, 2026 Summer Canada
Job Description
PhD AI Research Intern, 2026 Summer Canada
📋 Job Overview
Join Atlassian's Machine Learning Research team as a PhD Research Intern to work on advanced AI technologies, including LLMs and Generative AI. You will collaborate with experienced researchers and engineers to develop state-of-the-art AI solutions for Enterprises, gaining hands-on experience in both foundational research and practical applications.
📍 Location: Canada, Canada
🏢 Category: Engineering
📅 Posted: 2025-12-11 04:27 PM
🎯 Key Responsibilities
- Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
- Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
- Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
- Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
- Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
✅ Required Qualifications
- Completed Bachelors degree in Computer Science or a related field
- Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
- Degree completion date cannot be earlier than September 2026 - June 2027
- Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
🛠️ Required Skills
- Machine Learning
- Artificial Intelligence
- Large Language Models
- Generative AI
- Conversational Agents
- AI Optimization
- Data Curation
- Data Preprocessing
- Dataset Management
- Experiment Design
- Experiment Implementation
- Experiment Evaluation
- Model Training
- Model Fine-tuning
- Model Alignment
- Algorithm Evaluation
- Performance Analysis
- Collaboration
- Research
- Presentation Skills
- Publication Skills
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
Locations
- Canada, Canada
Salary
Estimated Salary Rangemedium confidence
60,000 - 80,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Artificial Intelligenceintermediate
- Large Language Modelsintermediate
- Generative AIintermediate
- Conversational Agentsintermediate
- AI Optimizationintermediate
- Data Curationintermediate
- Data Preprocessingintermediate
- Dataset Managementintermediate
- Experiment Designintermediate
- Experiment Implementationintermediate
- Experiment Evaluationintermediate
- Model Trainingintermediate
- Model Fine-tuningintermediate
- Model Alignmentintermediate
- Algorithm Evaluationintermediate
- Performance Analysisintermediate
- Collaborationintermediate
- Researchintermediate
- Presentation Skillsintermediate
- Publication Skillsintermediate
Required Qualifications
- Completed Bachelors degree in Computer Science or a related field (experience)
- Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies (experience)
- Degree completion date cannot be earlier than September 2026 - June 2027 (experience)
- Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques (experience)
Responsibilities
- Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
- Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
- Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
- Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
- Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
Tags & Categories
PhD AI Research Intern, 2026 Summer Canada
Atlassian
PhD AI Research Intern, 2026 Summer Canada
Job Description
PhD AI Research Intern, 2026 Summer Canada
📋 Job Overview
Join Atlassian's Machine Learning Research team as a PhD Research Intern to work on advanced AI technologies, including LLMs and Generative AI. You will collaborate with experienced researchers and engineers to develop state-of-the-art AI solutions for Enterprises, gaining hands-on experience in both foundational research and practical applications.
📍 Location: Canada, Canada
🏢 Category: Engineering
📅 Posted: 2025-12-11 04:27 PM
🎯 Key Responsibilities
- Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
- Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
- Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
- Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
- Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
✅ Required Qualifications
- Completed Bachelors degree in Computer Science or a related field
- Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
- Degree completion date cannot be earlier than September 2026 - June 2027
- Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
🛠️ Required Skills
- Machine Learning
- Artificial Intelligence
- Large Language Models
- Generative AI
- Conversational Agents
- AI Optimization
- Data Curation
- Data Preprocessing
- Dataset Management
- Experiment Design
- Experiment Implementation
- Experiment Evaluation
- Model Training
- Model Fine-tuning
- Model Alignment
- Algorithm Evaluation
- Performance Analysis
- Collaboration
- Research
- Presentation Skills
- Publication Skills
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
Locations
- Canada, Canada
Salary
Estimated Salary Rangemedium confidence
60,000 - 80,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Artificial Intelligenceintermediate
- Large Language Modelsintermediate
- Generative AIintermediate
- Conversational Agentsintermediate
- AI Optimizationintermediate
- Data Curationintermediate
- Data Preprocessingintermediate
- Dataset Managementintermediate
- Experiment Designintermediate
- Experiment Implementationintermediate
- Experiment Evaluationintermediate
- Model Trainingintermediate
- Model Fine-tuningintermediate
- Model Alignmentintermediate
- Algorithm Evaluationintermediate
- Performance Analysisintermediate
- Collaborationintermediate
- Researchintermediate
- Presentation Skillsintermediate
- Publication Skillsintermediate
Required Qualifications
- Completed Bachelors degree in Computer Science or a related field (experience)
- Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies (experience)
- Degree completion date cannot be earlier than September 2026 - June 2027 (experience)
- Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques (experience)
Responsibilities
- Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
- Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
- Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
- Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
- Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
Tags & Categories