Principal ML/AI Software Engineer
Atlassian
Principal ML/AI Software Engineer
Job Description
Principal ML/AI Software Engineer
📋 Job Overview
We are seeking a Principal ML/AI Software Engineer to drive the vision, development, and launch of AI-powered products and platforms at Atlassian. This role involves leading initiatives in AI Foundation and NextGen AI, requiring strong technical leadership and hands-on engineering to deliver AI solutions across the company.
📍 Location: Ankara, Turkey
🏢 Category: Engineering
📅 Posted: 2025-12-01 02:56 PM
🎯 Key Responsibilities
- Define the technical vision and roadmap for AI Foundation and NextGen
- End-to-end ownership - from prototyping and development to production
- Hands-on work in prompt engineering, model iteration, and training/inference systems
- Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
- Facilitate product and technical decisions, ensuring alignment with business goals
- Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
- Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
- Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
- Evaluate in-house model development vs. third-party APIs for ML/AI solutions
- Establish best practices for AI development, quality measurement, monitoring, and scalability
✅ Required Qualifications
- 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems
- Proven track record of tech-leading AI/ML products from conception to launch
- Strong platform mindset - experience building reusable tools/infrastructure to accelerate AI development
- Strong programming skills in any OOO programming language
- Excellent communication and collaboration skills
⭐ Preferred Qualifications
- PhD or MS in a relevant field
- Background in ML modeling (training/fine-tuning ML models)
- Experience with chatbots, generative AI, or LLM-powered applications
🛠️ Required Skills
- Machine Learning engineering
- Training/inference pipelines
- Prompt engineering
- ML systems
- Technical leadership
- Strategic decision-making
- Cross-functional collaboration
- Programming in OOO languages
- Communication
- Collaboration
- Platform mindset
- Reusable tools/infrastructure development
- AI/ML product development
- State-of-the-art AI/ML techniques
- Best practices in AI development
- Quality measurement
- Monitoring
- Scalability
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- Ankara, Turkey
Salary
Estimated Salary Rangemedium confidence
700,000 - 1,200,000 TRY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning engineeringintermediate
- Training/inference pipelinesintermediate
- Prompt engineeringintermediate
- ML systemsintermediate
- Technical leadershipintermediate
- Strategic decision-makingintermediate
- Cross-functional collaborationintermediate
- Programming in OOO languagesintermediate
- Communicationintermediate
- Collaborationintermediate
- Platform mindsetintermediate
- Reusable tools/infrastructure developmentintermediate
- AI/ML product developmentintermediate
- State-of-the-art AI/ML techniquesintermediate
- Best practices in AI developmentintermediate
- Quality measurementintermediate
- Monitoringintermediate
- Scalabilityintermediate
Required Qualifications
- 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems (experience)
- Proven track record of tech-leading AI/ML products from conception to launch (experience)
- Strong platform mindset - experience building reusable tools/infrastructure to accelerate AI development (experience)
- Strong programming skills in any OOO programming language (experience)
- Excellent communication and collaboration skills (experience)
Preferred Qualifications
- PhD or MS in a relevant field (experience)
- Background in ML modeling (training/fine-tuning ML models) (experience)
- Experience with chatbots, generative AI, or LLM-powered applications (experience)
Responsibilities
- Define the technical vision and roadmap for AI Foundation and NextGen
- End-to-end ownership - from prototyping and development to production
- Hands-on work in prompt engineering, model iteration, and training/inference systems
- Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
- Facilitate product and technical decisions, ensuring alignment with business goals
- Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
- Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
- Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
- Evaluate in-house model development vs. third-party APIs for ML/AI solutions
- Establish best practices for AI development, quality measurement, monitoring, and scalability
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories
Principal ML/AI Software Engineer
Atlassian
Principal ML/AI Software Engineer
Job Description
Principal ML/AI Software Engineer
📋 Job Overview
We are seeking a Principal ML/AI Software Engineer to drive the vision, development, and launch of AI-powered products and platforms at Atlassian. This role involves leading initiatives in AI Foundation and NextGen AI, requiring strong technical leadership and hands-on engineering to deliver AI solutions across the company.
📍 Location: Ankara, Turkey
🏢 Category: Engineering
📅 Posted: 2025-12-01 02:56 PM
🎯 Key Responsibilities
- Define the technical vision and roadmap for AI Foundation and NextGen
- End-to-end ownership - from prototyping and development to production
- Hands-on work in prompt engineering, model iteration, and training/inference systems
- Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
- Facilitate product and technical decisions, ensuring alignment with business goals
- Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
- Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
- Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
- Evaluate in-house model development vs. third-party APIs for ML/AI solutions
- Establish best practices for AI development, quality measurement, monitoring, and scalability
✅ Required Qualifications
- 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems
- Proven track record of tech-leading AI/ML products from conception to launch
- Strong platform mindset - experience building reusable tools/infrastructure to accelerate AI development
- Strong programming skills in any OOO programming language
- Excellent communication and collaboration skills
⭐ Preferred Qualifications
- PhD or MS in a relevant field
- Background in ML modeling (training/fine-tuning ML models)
- Experience with chatbots, generative AI, or LLM-powered applications
🛠️ Required Skills
- Machine Learning engineering
- Training/inference pipelines
- Prompt engineering
- ML systems
- Technical leadership
- Strategic decision-making
- Cross-functional collaboration
- Programming in OOO languages
- Communication
- Collaboration
- Platform mindset
- Reusable tools/infrastructure development
- AI/ML product development
- State-of-the-art AI/ML techniques
- Best practices in AI development
- Quality measurement
- Monitoring
- Scalability
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- Ankara, Turkey
Salary
Estimated Salary Rangemedium confidence
700,000 - 1,200,000 TRY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning engineeringintermediate
- Training/inference pipelinesintermediate
- Prompt engineeringintermediate
- ML systemsintermediate
- Technical leadershipintermediate
- Strategic decision-makingintermediate
- Cross-functional collaborationintermediate
- Programming in OOO languagesintermediate
- Communicationintermediate
- Collaborationintermediate
- Platform mindsetintermediate
- Reusable tools/infrastructure developmentintermediate
- AI/ML product developmentintermediate
- State-of-the-art AI/ML techniquesintermediate
- Best practices in AI developmentintermediate
- Quality measurementintermediate
- Monitoringintermediate
- Scalabilityintermediate
Required Qualifications
- 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems (experience)
- Proven track record of tech-leading AI/ML products from conception to launch (experience)
- Strong platform mindset - experience building reusable tools/infrastructure to accelerate AI development (experience)
- Strong programming skills in any OOO programming language (experience)
- Excellent communication and collaboration skills (experience)
Preferred Qualifications
- PhD or MS in a relevant field (experience)
- Background in ML modeling (training/fine-tuning ML models) (experience)
- Experience with chatbots, generative AI, or LLM-powered applications (experience)
Responsibilities
- Define the technical vision and roadmap for AI Foundation and NextGen
- End-to-end ownership - from prototyping and development to production
- Hands-on work in prompt engineering, model iteration, and training/inference systems
- Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
- Facilitate product and technical decisions, ensuring alignment with business goals
- Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
- Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
- Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
- Evaluate in-house model development vs. third-party APIs for ML/AI solutions
- Establish best practices for AI development, quality measurement, monitoring, and scalability
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories