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About the Role

Atlassian is seeking a Senior Machine Learning Engineer to join our Query Intelligence team, working on Agentic Search and Search Relevance. You will build intelligent systems that help people and AI agents understand complex questions, discover relevant knowledge, and accomplish tasks across Atlassian products and connected tools.

Responsibilities

Develop machine learning and LLM capabilities for query intelligence, including intent understanding, query rewriting and decomposition, entity understanding, and translating natural language into structured search constraints.
Build and improve agentic search planners that turn complex requests into search strategies, select appropriate sources and tools, and adapt based on retrieved evidence.
Improve model and agent behavior through prompt development, model selection, training data improvements, and fine-tuning where appropriate.
Own projects from problem definition and prototyping through experimentation, production deployment, and ongoing measurement.
Build datasets and evaluation methods, partnering with evaluation teams to measure retrieval relevance, evidence coverage, task success, and grounding. Use offline analysis and online experiments to diagnose failures and validate improvements.
Balance search quality with latency, inference cost, and reliability, building systems that operate effectively within enterprise permissions and data boundaries.
Collaborate with search platform, relevance, Rovo Chat, and other AI teams to integrate query intelligence and agentic search capabilities into customer experiences.
Contribute to technical design and code reviews, mentor junior engineers, and share learnings that strengthen the team’s engineering and ML practices.

Requirements

A bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.
4+ years of relevant industry experience in machine learning, with experience delivering ML capabilities into production.
Strong Python programming skills and the ability to write reliable, maintainable, production-quality code.
Experience in one or more of natural language processing, information retrieval, search relevance, or LLM applications.
Experience designing experiments, building evaluation datasets, analyzing model behavior, and using evidence to guide improvements.
An understanding of the ML development lifecycle, from data preparation and modeling to deployment, monitoring, and iteration.
The ability to take ownership of ambiguous problems, make practical technical tradeoffs, and communicate clearly with engineering and product partners.

Skills

Machine learning
LLM capabilities
Intent understanding
Query rewriting
Query decomposition
Entity understanding
Natural language to structured search constraints translation
Agentic search planners
Prompt development
Model selection
Training data improvements
Fine-tuning
Experimentation
Production deployment
Measurement
Dataset building
Evaluation methods
Retrieval relevance
Evidence coverage
Task success
Grounding
Offline analysis
Online experiments
Search quality
Latency
Inference cost
Reliability
Enterprise permissions
Data boundaries
Technical design
Code reviews
Python programming
Natural language processing
Information retrieval
Search relevance
LLM applications
ML development lifecycle
Data preparation
Modeling
Deployment
Monitoring
Iteration
AI agents
Tool-use workflows
Multi-step search systems
Retrieval-augmented generation
Semantic retrieval
Hybrid retrieval
Ranking
Personalization
Context-aware search
Supervised fine-tuning
Preference optimization
Reinforcement learning
Trajectory analysis
Human evaluation
Model-based judging
Distributed data processing
Cloud ML environments
Spark
AWS
Databricks

Location

Any country where Atlassian has a legal entity

Work Type

Office
Home
Combination of office and home

Experience Level

Senior
4+ years of relevant industry experience in machine learning

Education Level

Bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.

Salary/Compensations

Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332

Benefits

Health and wellbeing resources
Paid volunteer days

About the Company

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.

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.
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.
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.