Build and maintain core AI/ML platform infrastructure enabling engineers and data scientists to create, train, deploy, monitor, and operate ML models and pipelines. Collaborate with product teams to integrate ML solutions, lead technical design through launch, implement MLOps/CI-CD automation, and mentor junior engineers.
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.
About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:
About AI & ML Platform Team
Our team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.
Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.
About This Role
As a Senior Engineer on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.
You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.
This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.
In this role, you'll get the chance to:
On your first day, we'll expect you to have
It would be great, but not required if you have
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $180,000 - $235,000
Zone B: $162,000 - $211,500
Zone C: $149,400 - $195,050
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.
About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:
- Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
- Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
- Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.
About AI & ML Platform Team
Our team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.
Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.
About This Role
As a Senior Engineer on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.
You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.
This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.
In this role, you'll get the chance to:
- Collaborate with your teammates to solve complex problems, from technical design to launch.
- Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.
- Deliver code reviews, documentation & bug fixes within a strong engineering culture
- Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
- Mentor junior members of the team.
On your first day, we'll expect you to have
- 5+ years of experience in building Machine Learning and AI infra/platform/system
- Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
- Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
- MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
It would be great, but not required if you have
- Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial.
- Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
- Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
- Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
- Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $180,000 - $235,000
Zone B: $162,000 - $211,500
Zone C: $149,400 - $195,050
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Atlassian New York, New York, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.
Top Skills:
Embedding ModelsFinopsNeural RankersPyTorchReranking SystemsRetrieval PipelinesRetrieval-Augmented Generation (Rag)Semantic SearchTritonVector Indexing Systems
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow a high-performing ML team to design and deliver end-to-end AI features for DevAI products. Drive LLM integration, prompt engineering, technical strategy, project delivery, stakeholder alignment, and process optimization while mentoring engineers and managing performance.
Top Skills:
Ai/MlData ScienceDeep LearningLlm IntegrationMachine LearningPrompt Engineering
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.
Top Skills:
Embedding ModelsFinopsNeural RankersPyTorchReranking SystemsRetrieval PipelinesRetrieval-Augmented Generation (Rag)Semantic SearchTritonVector Indexing Systems
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
