Senior Machine Learning Engineering Manager, Gen AI
About The Position
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. At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in GenAI products — intelligent, conversational systems that combine retrieval-augmented generation (RAG), entity / user understanding, semantic search, and agentic interactions to redefine how users discover and interact with information across our ecosystem. We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional initiative focused on delivering end-to-end GenAI products . This is a rare opportunity to drive innovation at the intersection of modeling, engineering, and product thinking—turning state-of-the-art LLM capabilities into intuitive, high-value user experiences.
Requirements
- 8+ years in ML, search, or backend engineering roles, with 3+ years leading teams.
- Strong track record of shipping ML-powered or LLM-integrated user-facing products.
- Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration).
- Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack) , with the ability to lead end-to-end.
- Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.).
- Strong product intuition and ability to translate complex tech into valuable user features.
- Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops.
- Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience.
Nice To Haves
- Experience with front-end or full-stack development for GenAI interfaces.
- Familiarity with knowledge graphs, semantic embeddings, or search evaluation metrics (e.g., NDCG, precision@k).
- Passion for AI safety, ethics, and user trust in generative systems.
Responsibilities
- Own End-to-End GenAI Product Development Lead the vision, design, and execution of LLM-powered AI products , leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system. Define system architecture across retrievers, rankers, orchestration layers, prompt templates , and feedback mechanisms. Work closely with product and design teams to ensure delightful, fast, and grounded user experiences.
- Lead and Grow a High-Performing Team Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists. Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively. Mentor individuals to grow in both technical depth and product acumen.
- Drive Strategy and Execution Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite. Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement. Champion data quality, grounding, and responsible AI practices in all deployed features.
Benefits
- Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
