Principal Machine Learning Engineer - Central AI
Atlassian
Principal Machine Learning Engineer - Central AI
Job Description
Principal Machine Learning Engineer - Central AI
📋 Job Overview
As a Principal Machine Learning Engineer at Atlassian's Central AI team, you will drive the development and implementation of cutting-edge machine learning algorithms and models. Your role is crucial in building AI functionalities across Atlassian's products and services, ensuring seamless integration and optimal functionality of AI across various departments.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-12-08 09:51 PM
🎯 Key Responsibilities
- Drive the development and implementation of 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 emerging 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)
- 5+ 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
- Machine Learning
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Communication
- Agile development
- Deep Learning
- LLM
- Problem Solving
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
190,300 - 305,700 USD / yearly
Estimated Salary Rangemedium confidence
200,000 - 300,000 USD / 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
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Communicationintermediate
- Agile developmentintermediate
- Deep Learningintermediate
- LLMintermediate
- Problem Solvingintermediate
Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience) (experience)
- 5+ 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
- Drive the development and implementation of 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 emerging ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
Principal Machine Learning Engineer - Central AI
Atlassian
Principal Machine Learning Engineer - Central AI
Job Description
Principal Machine Learning Engineer - Central AI
📋 Job Overview
As a Principal Machine Learning Engineer at Atlassian's Central AI team, you will drive the development and implementation of cutting-edge machine learning algorithms and models. Your role is crucial in building AI functionalities across Atlassian's products and services, ensuring seamless integration and optimal functionality of AI across various departments.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-12-08 09:51 PM
🎯 Key Responsibilities
- Drive the development and implementation of 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 emerging 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)
- 5+ 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
- Machine Learning
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Communication
- Agile development
- Deep Learning
- LLM
- Problem Solving
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
190,300 - 305,700 USD / yearly
Estimated Salary Rangemedium confidence
200,000 - 300,000 USD / 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
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Communicationintermediate
- Agile developmentintermediate
- Deep Learningintermediate
- LLMintermediate
- Problem Solvingintermediate
Required Qualifications
- Bachelor's or Master's degree (preferably in Computer Science or equivalent experience) (experience)
- 5+ 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
- Drive the development and implementation of 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 emerging ML engineers
- Ensure AI's transformative potential is realized across Atlassian's offerings
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories