Principle Machine Learning Engineer -- Teamwork Graph
Atlassian
Principle Machine Learning Engineer -- Teamwork Graph
Job Description
Principle Machine Learning Engineer -- Teamwork Graph
📋 Job Overview
The Principle Machine Learning Engineer role at Atlassian involves joining the Teamwork Graph team to build and deploy a knowledge graph that enhances how teams work together. This position focuses on advanced graph querying and developing AI-powered applications, collaborating with various product teams to integrate this technology across Atlassian's suite of products.
📍 Location: Mountain View, United States or Remote (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-12-09 11:52 AM
🎯 Key Responsibilities
- Process and structure large amounts of graph data to power applications across Atlassian
- Build great APIs
- Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
- Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
- Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
✅ Required Qualifications
- 10+ years of experience building and scaling business applications and systems using large amounts of data
- Built generalizable platforms with a keen eye on empowering applications in product
- Agile development mindset, appreciating the benefit of iteration and improvement
⭐ Preferred Qualifications
- Experience working with LLMs and RAG
🛠️ Required Skills
- Machine Learning
- Graph data processing
- API development
- Generative AI
- Mentoring
- Effective communication
- Agile development
- LLMs (Large Language Models)
- RAG (Retrieval-Augmented Generation)
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- Mountain View, United States or Remote (Remote)
Salary
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
- Graph data processingintermediate
- API developmentintermediate
- Generative AIintermediate
- Mentoringintermediate
- Effective communicationintermediate
- Agile developmentintermediate
- LLMs (Large Language Models)intermediate
- RAG (Retrieval-Augmented Generation)intermediate
Required Qualifications
- 10+ years of experience building and scaling business applications and systems using large amounts of data (experience)
- Built generalizable platforms with a keen eye on empowering applications in product (experience)
- Agile development mindset, appreciating the benefit of iteration and improvement (experience)
Preferred Qualifications
- Experience working with LLMs and RAG (experience)
Responsibilities
- Process and structure large amounts of graph data to power applications across Atlassian
- Build great APIs
- Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
- Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
- Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
Principle Machine Learning Engineer -- Teamwork Graph
Atlassian
Principle Machine Learning Engineer -- Teamwork Graph
Job Description
Principle Machine Learning Engineer -- Teamwork Graph
📋 Job Overview
The Principle Machine Learning Engineer role at Atlassian involves joining the Teamwork Graph team to build and deploy a knowledge graph that enhances how teams work together. This position focuses on advanced graph querying and developing AI-powered applications, collaborating with various product teams to integrate this technology across Atlassian's suite of products.
📍 Location: Mountain View, United States or Remote (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-12-09 11:52 AM
🎯 Key Responsibilities
- Process and structure large amounts of graph data to power applications across Atlassian
- Build great APIs
- Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
- Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
- Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
✅ Required Qualifications
- 10+ years of experience building and scaling business applications and systems using large amounts of data
- Built generalizable platforms with a keen eye on empowering applications in product
- Agile development mindset, appreciating the benefit of iteration and improvement
⭐ Preferred Qualifications
- Experience working with LLMs and RAG
🛠️ Required Skills
- Machine Learning
- Graph data processing
- API development
- Generative AI
- Mentoring
- Effective communication
- Agile development
- LLMs (Large Language Models)
- RAG (Retrieval-Augmented Generation)
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- Mountain View, United States or Remote (Remote)
Salary
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
- Graph data processingintermediate
- API developmentintermediate
- Generative AIintermediate
- Mentoringintermediate
- Effective communicationintermediate
- Agile developmentintermediate
- LLMs (Large Language Models)intermediate
- RAG (Retrieval-Augmented Generation)intermediate
Required Qualifications
- 10+ years of experience building and scaling business applications and systems using large amounts of data (experience)
- Built generalizable platforms with a keen eye on empowering applications in product (experience)
- Agile development mindset, appreciating the benefit of iteration and improvement (experience)
Preferred Qualifications
- Experience working with LLMs and RAG (experience)
Responsibilities
- Process and structure large amounts of graph data to power applications across Atlassian
- Build great APIs
- Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
- Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
- Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories