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About the Role

At Atlassian, we're investing deeply in Generative AI, pioneering advanced modeling and rapid innovations to accelerate how teams work, discover, and create. We are seeking a Principal Machine Learning Systems Engineer (P60) to lead technical directions of GenAI Products & Knowledge Innovations in the US. You will focus on building and scaling systems that power advanced GenAI products with enterprise knowledge, rapid prototyping, and applied research, bridging cutting-edge algorithms with reliable, high-performance infrastructure.

Responsibilities

Architect and implement scalable systems for training, fine-tuning, and serving large language models and embeddings.
Build efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data.
Develop tools and infra to support rapid experimentation, evaluation, and deployment of prototypes.
Partner with applied scientists to bring new ideas to life in robust, production-ready pipelines.
Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.
Optimize latency, throughput, and resource efficiency for GenAI workloads.
Work closely with ML engineers, backend developers, and product teams to ship end-to-end innovations.
Contribute to best practices in model deployment, monitoring, and evaluation.
Help establish the team as a world-class hub for GenAI systems innovation.

Requirements

6+ years in ML systems engineering, backend engineering, or infrastructure roles.
Strong track record of building and scaling ML-powered services in production.
Experience with large-scale model training, inference pipelines, or search/retrieval systems.
Proficiency in backend systems and ML frameworks (Python, PyTorch, TensorFlow, Hugging Face).
Experience with vector databases (Weaviate, Pinecone, FAISS), orchestration frameworks (LangChain, LlamaIndex).
Strong coding skills and ability to optimize systems for performance and reliability.
Familiarity with cloud environments (AWS, GCP, Azure) and container/orchestration tools (Kubernetes, Docker).
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent industry experience.
Background in distributed systems, high-performance computing, or GPU optimization.
Familiarity with search/GenAI evaluation metrics (e.g., NDCG, groundedness, latency benchmarks).
Experience with monitoring, observability, and reliability practices for ML systems.
Contributions to open-source infra or ML systems frameworks.

Skills

Python
PyTorch
TensorFlow
Hugging Face
Weaviate
Pinecone
FAISS
LangChain
LlamaIndex
AWS
GCP
Azure
Kubernetes
Docker

Location

Work Type

Remote
Hybrid
Office

Experience Level

6+ years

Education Level

Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent industry experience.

Salary/Compensations

Zone A: $236,700 - $309,025
Zone B: $213,030 - $278,123
Zone C: $196,461 - $256,491

Benefits

Health and wellbeing resources
Paid volunteer days

About the Company

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.

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.