{"id":1816074,"url":"https://alion.io/job/atlassian-machine-learning-system-engineer","title":"Machine Learning System 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":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":178200,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":178200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"KV Cache","optional":false},{"name":"Machine Learning","optional":false},{"name":"Quantization","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-02T20:56:46Z","employer_posted_date":null,"last_verified_at":"2026-10-02T20:56:46Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Overview\n\nWorking at Atlassian\n\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.\n\nResponsibilities\n\nAs a ML System Engineer on the AI & ML Platform's Inference team, you will design and optimize large-scale model serving systems end-to-end. You will have the chance to own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding).\n\nIn this role, you are expected to:\nArchitect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).\nOptimize latency and throughput of model inference under real production workloads.\nBuild reliable, high-concurrency serving systems that serve billions of requests reliably\nBenchmark, fine-tune, and accelerate inference engines.\nCreate robust CI/CD infrastructure for seamless model deployment and inference engine updates.\nPartner with senior ML engineers to fine-tune and deploy open-source LLMs\n\nCompensation\n\nAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.\n\nPlease visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.\n\nThis role may also be eligible for benefits, bonuses, commissions, and equity.\n\nPay Ranges\n\nIn The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:\n\nZone A: $178,200 - $232,650\n\nZone B: $160,380 - $209,385\n\nZone C: $147,906 - $193,100\n\nQualifications\n\nOn your first day, we'll expect you to have: \n3+ years of software engineering experience\nDeep low-level systems programming (C/C++ or Rust)\nExperience with large-scale, high-concurrent production serving.\nExperience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).\n\nIt would be great, but not required if you have:\n1+ years of system performance optimization experience\nLow-level inference optimizations: GPU kernels\nAlgorithmic inference optimizations: quantization, speculative decoding, distillation\nExperience with testing, benchmarking, and reliability of inference services.\nExperience designing and implementing CI/CD infrastructure for inference.\nStrong background in system optimizations: batching, caching, load balancing, parallelism.\n\nBenefits & Perks\n\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\n\nAbout Atlassian\n\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.\n\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.\n\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.\n\nTo learn more about our culture and hiring process, visit go.atlassian.com/crh\n\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":4315,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"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":"2026-10-04T00:20:32Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":19,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":178200,"is_top_pay":false},"html_url":"https://alion.io/job/atlassian-machine-learning-system-engineer","json_url":"https://alion.io/job/atlassian-machine-learning-system-engineer.json","meta":{"generated_at":"2026-10-05T02:14:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2935,"day_limit":5000,"remaining_today":2065,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}