{"id":1829453,"url":"https://alion.io/job/atlassian-principal-machine-learning-engineer-6","title":"Principal Machine Learning Engineer","company":{"id":182,"name":"Atlassian","domain":"atlassian.com","url":"https://alion.io/company/atlassian","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States","Mountain View, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":201000,"max_usd":364000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":132},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"DGL","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"PyG","optional":false},{"name":"RAG","optional":false},{"name":"Embeddings","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-10-04T11:58:41Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-09T03:32:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Working at Atlassian\nAtlassians 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.\nAt Atlassian, we're on a mission to unleash the potential of every team. Central to that mission is the Teamwork Graph (TWG) - Atlassian's real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected third-party tools. We believe the next frontier of AI-powered teamwork is personal working environment context: knowing who you collaborate with, what you're actively working on, and which documents matter right now - so that Rovo Chat, agents, and the TWG CLI can deliver answers that are precise, relevant, and actionable.\nWe're seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal working environment context layer and serve it at scale through Rovo Chat and the Teamwork Graph CLI.\nResponsibilities\nWhat You'll Do\nBuild Personal Work Context Graphs\nDesign graph inference pipelines that surface collaborators, active work, documents, and projects from connected tools.\n\nDefine schemas, permissions, and evaluation frameworks for reliable inferred context.\n\nImprove Rovo Chat with Graph Context\nIntegrate personal context into Rovo Chat to improve relevance, groundedness, and efficiency.\n\nBuild and measure context-selection strategies with the Rovo Chat team.\n\nDeliver Context Through Graph APIs & CLI\nBuild low-latency, permission-safe APIs and CLI experiences for personal work context.\n\nEnable MCP-compatible agents to query a user’s work environment in real time.\n\nLead Across Teams\nProvide technical leadership across Knowledge AI, Teamwork Graph, and product teams.\n\nMentor engineers and champion responsible, privacy-safe AI and data quality.\n\nQualifications\nWhat We're Looking For\nExperience\n8+ years in ML/AI engineering, with deep expertise in knowledge graphs, graph neural networks, or entity/relationship extraction.\n\nProven track record of building and shipping ML-powered graph inference or knowledge representation systems at production scale.\n\nHands-on experience with one or more of: graph databases (Neo4j, Neptune, or equivalent), graph query languages (Cypher, SPARQL), or large-scale graph processing frameworks (GraphX, DGL, PyG).\n\nDemonstrated ability to ship end-to-end ML features - from data pipeline and model training through serving, monitoring, and iteration.\n\nSkills\nStrong understanding of LLM orchestration, retrieval-augmented generation (RAG), and context injection - specifically how graph-derived context improves LLM grounding and relevance.\n\nExperience designing inference pipelines that derive implicit entities and relationships from heterogeneous activity signals (work items, documents, projects, code changes).\n\nProficiency in evaluation methodology: offline precision/recall benchmarks, online A/B testing, and human evaluation for ML systems.\n\nAbility to set technical direction across teams, drive architecture decisions, and communicate tradeoffs clearly to engineering and product leadership.\n\nEducation\nMaster's or PhD in Computer Science, Machine Learning, Information Retrieval, or related field preferred - or equivalent industry experience.\n\nNice to Have\nExperience with enterprise knowledge graphs, semantic embeddings, or ontology design at scale.\n\nFamiliarity with permission-aware data systems and privacy-by-design principles for user-centric inference.\n\nBackground in collaboration analytics, social network analysis, or user activity modeling.\n\nBenefits & Perks\nAtlassian 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. To learn more, visit go.atlassian.com/perksandbenefits.\nAbout Atlassian\nAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.\nWe believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.\nTo provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.\nTo learn more about our culture and hiring process, visit go.atlassian.com/crh .\nIn line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.","description_format":"text","description_chars":5222,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","Project & Work Management Software","Developer Tools","Intranet & Knowledge Management"],"lifecycle":[{"event":"open","at":"2026-10-04T11:58:41Z"}],"visa":[],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.774,"p_room":0.55,"age_days":3,"expected_fill_days":3,"reasons":["conf:2","wave","velocity","win:tail","comp:brand"],"computed_at":"2026-10-08T05:49:30Z"},"pay":null,"html_url":"https://alion.io/job/atlassian-principal-machine-learning-engineer-6","json_url":"https://alion.io/job/atlassian-principal-machine-learning-engineer-6.json","meta":{"generated_at":"2026-10-09T04:24:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4038,"day_limit":5000,"remaining_today":962,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":182},"rest":"https://alion.io/mcp/rest/get_company?id=182"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatlassian-principal-machine-learning-engineer-6"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatlassian-principal-machine-learning-engineer-6"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatlassian-principal-machine-learning-engineer-6"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/atlassian-principal-machine-learning-engineer-6\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatlassian-principal-machine-learning-engineer-6"}]}