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About the Role
Join the Central AI Org and the AI & ML Platform team to build the foundations for democratizing AI and Machine Learning for Atlassian's teams, customers, and ecosystem. Empower Atlassian teams to harness the power of AI through productive and reliable tools that facilitate development, deployment, measurement, and operation of AI & ML experiences.
Responsibilities
- Develop and refine the core infrastructure that empowers software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.
- Collaborate with product teams to solve specific challenges in building ML solutions, potentially involving data curation, fine-tuning LLMs, or accessing proprietary LLMs.
- Lead projects from technical design through to launch, partnering with various teams and internal stakeholders.
- Collaborate with teammates to solve complex problems, from technical design to launch.
- Deliver cutting-edge solutions used by other Atlassian teams and products to build AI features reaching millions of customers.
- Deliver code reviews, documentation, and 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.
Requirements
- 5+ years of experience in building Machine Learning and AI infra/Platform/Systems.
- 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.
- Good proficiency in Python and familiarity with ML frameworks like PyTorch, TensorFlow, or JAX.
- Some experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
- Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
- Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
- A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
- Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.
Skills
- Python
- PyTorch
- TensorFlow
- JAX
- Go
- Java
- Scala
- AWS
- GCP
- Azure
- Spark
- Ray
- Dask
- LLMs
- RAG
Location
- Any country where Atlassian has a legal entity
Work Type
- Office
- Home
- Combination of office and home
Experience Level
- Senior
Benefits
- Health and wellbeing resources
- Paid volunteer days
- Benefits, bonuses, commissions, and equity may be available.
About the Company
- Atlassian's mission is to unleash the potential of every team.
- Atlassian develops collaborative products like Jira, Confluence, and Bitbucket.
- Atlassian helps teams achieve their highest potential, powering revolutions across industries.
- The Central AI Org is dedicated to driving AI innovation across all Atlassian products and platforms, aiming to deliver seamless AI experiences and establish a robust AI infrastructure.
- The AI & ML Platform team's goal is to build foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem.
- Tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform, adhering to security and data usage policies.
- Atlassians can choose where they work – office, home, or a combination.
- Atlassian believes unique contributions create success and does not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
- Accommodations or adjustments can be supported at any stage of the recruitment process.
- Identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Equal Opportunity
- 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.