Multiple employees collaborating on work
Atlassian Logo

Atlassian

Principal Machine Learning Engineer

Reposted 12 Days Ago
In-Office or Remote
3 Locations
196K-309K Annually
Expert/Leader
In-Office or Remote
3 Locations
196K-309K Annually
Expert/Leader
Lead machine learning architecture and technical direction across multiple quarters while remaining involved in experimentation, quality, and production systems. Work across model post-training, personalization and recommendation, and agentic experiences. Define solutions for ambiguous problems, align cross-functional partners, drive execution, and safely bring ML systems into production.
The summary above was generated by AI
Engineering | Seattle, United States | San Francisco, United States | Mountain View, United States or Remote | Remote, Remote
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.
We're looking for a senior technical leader who can shape systems and technical direction across multiple quarters while remaining close to architecture, experimentation, quality, and production systems.
You'll have the opportunity to work across a number of areas including model post training, personalization/recommendation, proactive and other agentic experiences.
You'll tackle ambiguous problems end to end: defining the approach, aligning partners, driving execution, and bringing solutions safely into production.
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
HQ

Atlassian San Francisco, California, 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.

Atlassian Mountain View, California, USA Office

301 E Evelyn Ave., Mountain View, CA, United States, 94041

Similar Jobs at Atlassian

15 Days Ago
In-Office or Remote
3 Locations
196K-309K Annually
Senior level
196K-309K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design and delivery of knowledge graph and machine learning systems that infer personal work context from connected tools. Build graph inference pipelines, schemas, permission-aware APIs, Rovo Chat integrations, and MCP-compatible CLI experiences. Establish evaluation frameworks, improve retrieval and grounding, provide technical direction across teams, mentor engineers, and ensure responsible, privacy-safe AI systems operate reliably at production scale.
Top Skills: Amazon NeptuneCypherDglGraph DatabasesGraph Neural NetworksGraphxKnowledge GraphsLlm OrchestrationMcpNeo4JOntology DesignPygRagRetrieval-Augmented GenerationSemantic EmbeddingsSparql
15 Days Ago
In-Office or Remote
3 Locations
196K-309K Annually
Expert/Leader
196K-309K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.
Top Skills: Ai Systems InfrastructureArtificial IntelligenceAutomated EvaluationExperimentationMachine LearningMultimodal AiPrompt EngineeringRankingRetrieval
15 Days Ago
In-Office or Remote
3 Locations
226K-356K Annually
Senior level
226K-356K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical direction for Atlassian’s Search Serving platform, building globally scalable, low-latency agentic search systems. Own architecture for retrieval, indexing, query processing, and ML inference while improving quality, reliability, scalability, operability, and cost. Establish production ML practices for evaluation, experimentation, observability, rollouts, and incident response. Optimize inference for embedding, retrieval, and ranking models, and lead cross-team initiatives while mentoring senior engineers and aligning technical leaders.
Top Skills: CachingDistillationDistributed SystemsEmbedding ModelsHybrid RetrievalInformation RetrievalMachine LearningMl InferenceModel OptimizationQuantizationRanking ModelsSearch InfrastructureSemantic SearchShardingVector Search

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account