Top AI & Machine Learning Jobs

Lead design, development, and production deployment of AI/ML solutions across Atlassian products. Code in Python/JavaScript, architect APIs and microservices, implement Rovo/LLM-based features, manage risk and compliance (GDPR), mentor engineers, and align technical solutions with customer and business objectives.

Lead product vision, strategy, and execution for Rovo Chat, Atlassian's AI-driven conversational interface. Prioritize adoption and quality, drive multi-turn conversation improvements, integrate knowledge across first- and third-party sources, partner cross-functionally to ship features, define success metrics, and champion responsible AI practices for safe, transparent conversational experiences.

Build and operate enterprise AI integration products, including MCP servers, agent-facing APIs, React and TypeScript experiences, semantic retrieval systems, and automated AI quality evaluations. Improve latency, reliability, token efficiency, observability, and security across distributed systems. Lead cross-functional engineering initiatives, mentor engineers, and implement enterprise safeguards such as tenant isolation, audit logging, OAuth, and prompt-injection defenses.

The job description does not include specific responsibilities or qualifications. The role is identified as Principal Data Scientist and may be performed remotely, in an office, or in a hybrid arrangement, depending on the employee’s location and Atlassian’s legal entity availability.

Lead design, build, and deploy AI/ML solutions with customers, architect integrations, ensure production reliability and compliance, mentor engineers, and influence product direction to deliver measurable business value.

Lead design, development, and production deployment of AI/ML solutions (LLMs, generative AI, agents) for customers. Contribute code across Atlassian products, architect integrations and microservices, manage risk/compliance (GDPR), mentor engineers, and align technical solutions with business outcomes.

Partner with cross-functional teams to design and execute quantitative analyses, experiments, forecasting, and visualizations that influence product and business strategy. Translate data into stories and actionable recommendations, measure impact, and present findings to senior leadership.

Lead data science efforts to inform product and business strategy through quantitative analysis, experimentation, forecasting, and storytelling. Partner with cross-functional teams to define hypotheses, measure impact, influence roadmaps, present insights to senior leadership, and monitor key product metrics to drive value.

Lead data science and AI initiatives for Service Collection: define metrics and KRs, build measurement frameworks and ML/LLM models, partner with cross-functional teams, influence product roadmap, and mentor data scientists.

Lead and grow a high-performing ML team to design and deliver end-to-end AI features for DevAI products. Drive LLM integration, prompt engineering, technical strategy, project delivery, stakeholder alignment, and process optimization while mentoring engineers and managing performance.