Resume and JobRESUME AND JOB
Atlassian logo

Senior Machine Learning Engineer

Atlassian

Senior Machine Learning Engineer

Atlassian logo

Atlassian

full-time

Posted: November 26, 2025

Number of Vacancies: 1

Job Description

Senior Machine Learning Engineer

📋 Job Overview

As a Senior 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, design system architectures, conduct experiments, and guide junior engineers to ensure AI's transformative potential is realized throughout the company.

📍 Location: Canada, Canada

🏢 Category: Engineering

📅 Posted: 2025-11-26 11:13 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

🎁 Benefits & Perks

  • Health coverage
  • Paid volunteer days
  • Wellness resources

Locations

  • Canada, Canada

Salary

161,100 - 210,325 CAD / yearly

Estimated Salary Rangemedium confidence

130,000 - 190,000 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
  • LLMintermediate

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 coverage
  • general: Paid volunteer days
  • general: Wellness resources

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Atlassian logo

Senior Machine Learning Engineer

Atlassian

Senior Machine Learning Engineer

Atlassian logo

Atlassian

full-time

Posted: November 26, 2025

Number of Vacancies: 1

Job Description

Senior Machine Learning Engineer

📋 Job Overview

As a Senior 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, design system architectures, conduct experiments, and guide junior engineers to ensure AI's transformative potential is realized throughout the company.

📍 Location: Canada, Canada

🏢 Category: Engineering

📅 Posted: 2025-11-26 11:13 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

🎁 Benefits & Perks

  • Health coverage
  • Paid volunteer days
  • Wellness resources

Locations

  • Canada, Canada

Salary

161,100 - 210,325 CAD / yearly

Estimated Salary Rangemedium confidence

130,000 - 190,000 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
  • LLMintermediate

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 coverage
  • general: Paid volunteer days
  • general: Wellness resources

Target Your Resume for "Senior Machine Learning Engineer" , Atlassian

Get personalized recommendations to optimize your resume specifically for Senior Machine Learning Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Machine Learning Engineer" , Atlassian

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

EngineeringCanadaCanadaEngineering

Related Jobs You May Like

No related jobs found at the moment.