Develop and productionize machine learning systems for search, retrieval, ranking, recommendations, conversational experiences, and AI agents. Own projects across the ML lifecycle, build evaluation datasets and benchmarks, conduct offline and online evaluations, analyze model quality, and improve system performance. Design scalable architectures addressing reliability, latency, privacy, and cost. Collaborate across product and engineering teams, communicate technical decisions, mentor engineers, and contribute to ML best practices.
Engineering | San Francisco, United States | Remote, Remote | Mountain View, United States or Remote | Seattle, United States
Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian's AI products.
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.
Your role and impact
You will develop and productionize machine learning systems for search, retrieval, ranking, conversational experiences, and AI agents. You will own projects across the ML lifecycle, from problem definition and data development through experimentation, evaluation, deployment, and continuous improvement.
A key part of this role is making evaluation a first-class part of AI development. You will help define quality, build evaluation datasets and benchmarks, analyze model behavior, and use results to guide product and engineering decisions.
You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams. You will independently solve complex problems, contribute to technical direction, and mentor other engineers.
What you'll do
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
Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian's AI products.
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.
Your role and impact
You will develop and productionize machine learning systems for search, retrieval, ranking, conversational experiences, and AI agents. You will own projects across the ML lifecycle, from problem definition and data development through experimentation, evaluation, deployment, and continuous improvement.
A key part of this role is making evaluation a first-class part of AI development. You will help define quality, build evaluation datasets and benchmarks, analyze model behavior, and use results to guide product and engineering decisions.
You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams. You will independently solve complex problems, contribute to technical direction, and mentor other engineers.
What you'll do
- Build and productionize machine learning models and AI systems for Search & Intelligence products.
- Own projects from concept through deployment, monitoring, evaluation, and iteration.
- Develop AI-native experiences across search, retrieval, ranking, recommendations, conversational systems, and agentic workflows.
- Design evaluation-driven development processes, including quality metrics, test cases, benchmarks, and acceptance criteria.
- Build evaluation datasets, regression suites, and pipelines for search, RAG, chat, and agentic systems.
- Conduct offline and online evaluations, human assessments, model-based evaluations, and error analysis.
- Design scalable architectures that meet requirements for quality, reliability, latency, privacy, and cost.
- Apply modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models.
- Communicate technical decisions and results clearly across technical and non-technical audiences.
- Mentor engineers and contribute to engineering and ML best practices.
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
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Owns readiness strategy for Solution Sales Executives across multiple SaaS product collections. Diagnoses pipeline and skill gaps, delivers solution and value-selling programs, supports onboarding and product launches, enables AI-assisted sales workflows, coaches managers, and measures impact through win rates, opportunity quality, conversion speed, ramp time, and expansion. Partners with sales leadership, product marketing, Revenue Operations, account executives, solution engineers, and Customer Success.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.
Top Skills:
Artificial IntelligenceConversation Intelligence ToolsCRMGongLinkedin Sales NavigatorOutreachSales Engagement ToolsSalesforceSalesloftZoominfo
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Set technical vision and build AI foundations used across Atlassian: prototype and write code, build scalable AI infrastructure, measure AI effectiveness, provide context and cost-efficient compute, partner with product teams, and mentor senior engineers.
Top Skills:
AgentsAi Developer ToolsCdCiCloud InfrastructureData And Measurement SystemsDeveloper PlatformsDistributed SystemsLarge Language Models
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
