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Senior Machine Learning Engineering Manager, Gen AI

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Atlassian

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

193500.00 - 303150.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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

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 have:

  • 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
What we offer:
  • health and wellbeing resources
  • paid volunteer days

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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