Machine Learning Engineer
Atlassian
Machine Learning Engineer
Job Description
Machine Learning Engineer
📋 Job Overview
As a Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms and models to enhance AI functionalities across Atlassian's products. You will collaborate with various teams to design system architectures, conduct experiments, and guide junior engineers, ensuring AI's transformative potential is realized throughout the company.
📍 Location: Canada, Canada
🏢 Category: Engineering
📅 Posted: 2025-11-14 11:42 PM
🎯 Key Responsibilities
- Develop and implement cutting-edge machine learning algorithms
- Train sophisticated models
- Collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Provide guidance to junior ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
✅ Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience)
- 3+ years of related industry experience in the data science domain
- Expertise in Python or Java with the ability to write performant production-quality code
- Familiarity with SQL
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Agile development mindset
⭐ Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems
🛠️ Required Skills
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Machine Learning
- Data Science
- Communication
- Agile Development
- Deep Learning
- LLM (Large Language Models)
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support employees and their families
Locations
- Canada, Canada
Salary
130,500 - 170,375 CAD / yearly
Estimated Salary Rangemedium confidence
100,000 - 150,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Machine Learningintermediate
- Data Scienceintermediate
- Communicationintermediate
- Agile Developmentintermediate
- Deep Learningintermediate
- LLM (Large Language Models)intermediate
Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience) (experience)
- 3+ years of related industry experience in the data science domain (experience)
- Expertise in Python or Java with the ability to write performant production-quality code (experience)
- Familiarity with SQL (experience)
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks) (experience)
- Experience building and scaling machine learning models in business applications using large amounts of data (experience)
- Ability to communicate and explain data science concepts to diverse audiences (experience)
- Focus on business practicality and the 80/20 rule (experience)
- Agile development mindset (experience)
Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (experience)
- Experience in developing deep learning-based models and working on LLM-related applications (experience)
- Excelling in solving ambiguous and complex problems (experience)
Responsibilities
- Develop and implement cutting-edge machine learning algorithms
- Train sophisticated models
- Collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Provide guidance to junior ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support employees and their families
Tags & Categories
Machine Learning Engineer
Atlassian
Machine Learning Engineer
Job Description
Machine Learning Engineer
📋 Job Overview
As a Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms and models to enhance AI functionalities across Atlassian's products. You will collaborate with various teams to design system architectures, conduct experiments, and guide junior engineers, ensuring AI's transformative potential is realized throughout the company.
📍 Location: Canada, Canada
🏢 Category: Engineering
📅 Posted: 2025-11-14 11:42 PM
🎯 Key Responsibilities
- Develop and implement cutting-edge machine learning algorithms
- Train sophisticated models
- Collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Provide guidance to junior ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
✅ Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience)
- 3+ years of related industry experience in the data science domain
- Expertise in Python or Java with the ability to write performant production-quality code
- Familiarity with SQL
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Agile development mindset
⭐ Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems
🛠️ Required Skills
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Machine Learning
- Data Science
- Communication
- Agile Development
- Deep Learning
- LLM (Large Language Models)
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support employees and their families
Locations
- Canada, Canada
Salary
130,500 - 170,375 CAD / yearly
Estimated Salary Rangemedium confidence
100,000 - 150,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Machine Learningintermediate
- Data Scienceintermediate
- Communicationintermediate
- Agile Developmentintermediate
- Deep Learningintermediate
- LLM (Large Language Models)intermediate
Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience) (experience)
- 3+ years of related industry experience in the data science domain (experience)
- Expertise in Python or Java with the ability to write performant production-quality code (experience)
- Familiarity with SQL (experience)
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks) (experience)
- Experience building and scaling machine learning models in business applications using large amounts of data (experience)
- Ability to communicate and explain data science concepts to diverse audiences (experience)
- Focus on business practicality and the 80/20 rule (experience)
- Agile development mindset (experience)
Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (experience)
- Experience in developing deep learning-based models and working on LLM-related applications (experience)
- Excelling in solving ambiguous and complex problems (experience)
Responsibilities
- Develop and implement cutting-edge machine learning algorithms
- Train sophisticated models
- Collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services
- Design system and model architectures
- Conduct rigorous experimentation and model evaluations
- Provide guidance to junior ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support employees and their families
Tags & Categories