{"id":1829554,"url":"https://alion.io/job/atlassian-senior-machine-learning-engineer-8","title":"Senior 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":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","San Francisco, United States","Seattle, United States","Austin, United States","New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":177000,"max_usd":314000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":251},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-04T11:58:41Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-06T00:49:18Z","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.\nResponsibilities\nSenior Machine Learning Engineer - Agentic Search\nAtlassian is seeking a Senior Machine Learning Engineer to join our Agentic Search team. You’ll build agentic search systems that help people and AI agents discover relevant enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools.\nYour future team\nOur team is part of Search Relevance at Atlassian. We bring enterprise search into the places where people and agents work, including Atlassian products, third-party AI assistants, and developer workflows.\nWe build systems that interpret intent, plan searches, use tools, and adapt as new evidence becomes available. Rigorous evaluation guides our development: we benchmark realistic tasks, investigate failures, and use what we learn to improve the full search experience-from agent behavior to the interfaces and information we provide.\nWe combine applied research with production engineering, working closely with product, search infrastructure, modeling, and evaluation teams. We use AI tools throughout our daily work to prototype, build, evaluate, and learn, and continually evolve our methods as the technology advances.\nWhat you’ll do\nBuild and deliver agentic search capabilities for AI assistants and developer workflows through APIs, command-line tools, and protocols such as the Model Context Protocol (MCP).\n\nDevelop reproducible benchmarks and evaluation tools that reflect realistic tasks across models and agent environments. Enable trustworthy performance comparisons, make failures easier to diagnose, and accelerate experimentation.\n\nUse evaluation results, production signals, and developer feedback to improve the full search system-from search strategies and model behavior to tool interfaces, input and output schemas, and context selection.\n\nBuild agentic search systems that interpret user intent, plan and execute searches, select appropriate sources and tools, and adapt based on retrieved evidence.\n\nExplore and apply advances in LLMs and agent systems, including prompting, model selection, training data improvements, and fine-tuning where appropriate. Use evidence to decide which approaches to bring into production.\n\nOwn projects from problem definition and technical design through experimentation, deployment, and ongoing measurement, building reliable systems that respect enterprise permissions and data boundaries.\n\nCollaborate across product, search, and AI teams to shape technical direction and integrate agentic search into customer experiences.\n\nContribute to technical design and code reviews, mentor engineers, and help the team evolve its engineering practices, including effective use of AI tools.\n\nYour background\nOn the first day, we’ll expect you to have\nA bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.\n\n4+ years of relevant industry experience in machine learning, including delivering ML capabilities into production.\n\nStrong Python programming skills and the ability to build reliable, maintainable production systems.\n\nExperience in one or more of LLM applications, AI agents, information retrieval, search relevance, or natural language processing.\n\nExperience designing experiments, building evaluation datasets, and analyzing model and system behavior to guide improvements.\n\nRegular use of AI tools in your daily engineering workflow, such as coding, prototyping, debugging, or experimentation, with the judgment to validate their outputs and take ownership of the results.\n\nAn understanding of the ML development lifecycle, from data preparation and modeling to deployment, monitoring, and iteration.\n\nThe ability to lead ambiguous technical projects, learn new approaches quickly, make practical tradeoffs, and communicate clearly with engineering and product partners.\n\nIt’s great, but not required, if you have\nExperience building agents that use tools, multi-step search systems, or retrieval-augmented generation applications.\n\nExperience designing APIs, developer tools, or interfaces that make search and knowledge accessible to AI agents, including MCP.\n\nExperience developing agent evaluations or reproducible benchmarks, including trajectory analysis, human evaluation, or model-based judging.\n\nExperience with semantic or hybrid retrieval, ranking, or context-aware search.\n\nExperience with LLM fine-tuning or post-training, including supervised fine-tuning, preference optimization, or reinforcement learning.\n\nExperience with distributed data processing and cloud ML environments such as Spark, AWS, or Databricks.\n\nQualifications\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":6390,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"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":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:2","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/atlassian-senior-machine-learning-engineer-8","json_url":"https://alion.io/job/atlassian-senior-machine-learning-engineer-8.json","meta":{"generated_at":"2026-10-06T02:30:11Z","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":3843,"day_limit":5000,"remaining_today":1157,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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-senior-machine-learning-engineer-8"},{"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-senior-machine-learning-engineer-8"},{"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-senior-machine-learning-engineer-8"},{"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-senior-machine-learning-engineer-8\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatlassian-senior-machine-learning-engineer-8"}]}