{"id":3846963,"url":"https://alion.io/job/atlassian-senior-machine-learning-engineer-13","title":"Senior Machine Learning Engineer","company":{"id":182,"name":"Atlassian","domain":"atlassian.com","url":"https://alion.io/company/atlassian","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":31,"ghost_share":0,"stale_share":0,"repost_share":0.065,"time_to_fill_p50_days":11,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":206100,"max":269075,"currency":"USD","period":"year","gross":null,"usd_annual":269075},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T01:08:02Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T20:52:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nInterviews and onboarding are conducted virtually, a part of being a distributed-first company.\nAtlassian is seeking a Senior Machine Learning Engineer to join our Central AI\nteam. \nThe Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.\nYour future team\nThe Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.\nResponsibilities\nWhat you’ll do\nAs a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. \nYour daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.\nQualifications\nOn the first day, we'll expect you to have\nBachelor's or Master's degree (preferably a Computer Science degree or\nequivalent experience)\n3+ years of related industry experience in the data science domain\nExpertise in Python or Java with and the ability to write performant\nproduction-quality code, familiarity with SQL, knowledge of Spark and\ncloud data environments (e.g. AWS, Databricks)\nExperience building and scaling machine learning models in business\napplications using large amounts of data\nAgile development mindset, appreciating the benefit of constant iteration\nand improvement\nIt's great, but not required, if you have\nExperience working in a consumer or B2C space for a SaaS product\nprovider, or the enterprise/B2B space\nExperience in developing deep learning-based models and working on\nLLM-related applications\nExcelling in solving ambiguous and complex problems, being able to\nnavigate through uncertain situations, breaking down complex challenges\ninto manageable components and developing innovative solutions\nCompensation\nAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. \nIn the United States, we have three geographic pay zones. For this role, our current base\npay ranges for new hires in each zone are:\nZone A: $206,100 - $269,075\nZone B: $185,490 - $242,168\nZone C: $171,063 - $223,332\nThis role may also be eligible for benefits, bonuses, commissions, and equity.\nPlease visit go.atlassian.com/payzones for more information on which\nlocations are included in each of our geographic pay zones. \nPlease visit go.atlassian.com/perksandbenefits to learn more more our perks and benefits.\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\nadjustments 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.","description_format":"text","description_chars":4734,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","Project & Work Management Software","Developer Tools","Intranet & Knowledge Management"],"lifecycle":[{"event":"open","at":"2026-11-06T01:08:02Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 263 · green card filings: 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