Top AI & Machine Learning Jobs

Lead hands-on development of generative AI products grounded in enterprise knowledge. Design LLM, embedding, multimodal, fine-tuning, retrieval-augmented, and agentic solutions; rapidly prototype and evaluate GenAI applications; and scale successful experiments into production systems. Provide technical direction to a tiger team, mentor engineers and scientists, influence retrieval and serving architecture, shape innovation strategy, and promote responsible AI, groundedness, and data quality.

Build and ship intelligent search capabilities for Atlassian’s Rovo Chat and AI workflows. Responsibilities include developing ML-powered search features spanning query understanding, retrieval, ranking, and answer generation; maintaining production ML pipelines; applying reranking, embeddings, and reinforcement learning; conducting offline evaluations and online A/B tests; collaborating cross-functionally; and improving evaluation infrastructure and data tooling.

Lead design and deployment of production-grade ML systems (ranking, retrieval, LLMs). Drive architecture decisions, run experiments and evaluations, build scalable feature pipelines and monitoring, mentor engineers, and collaborate cross-functionally to integrate AI into products and scale ML capabilities.

Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.

Lead and grow the EMEA Forward Deployed Engineering team to design, deliver, and deploy applied AI/ML solutions. Hire and mentor engineers, drive 0-to-1 product development, ensure production-grade architectures, monitor models in production, manage AI risk and GDPR compliance, and align technical work with business outcomes while communicating with stakeholders.

Lead and grow engineering teams building large-scale AI/ML platform infrastructure (model serving, training, feature stores). Drive technical strategy, deliver complex backend systems to production, partner with product and stakeholders, uphold high engineering and operational standards, and coach engineers for career growth.

Lead design, build, and production deployment of AI/ML solutions for customers. Architect integrations and microservices, analyze complex data, manage AI risk and compliance (e.g., GDPR), mentor engineers, and align technical solutions with business objectives to drive measurable outcomes.

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.