Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.
Engineering | Remote, India | Remote, Remote | Full-Time
Search Platform's mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all of Atlassian's product and agentic surfaces. We are looking for a product-minded ML systems leader with deep expertise in applied machine learning and production ML infrastructure.
As a Senior Machine Learning Systems Engineer, you'll be at the intersection of search, machine learning and experimentation. You will work directly with cross-functional teams to deliver innovative, ML-powered solutions that directly impact millions of customers.
Benefits & Perks
Atlassian 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
Search Platform's mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all of Atlassian's product and agentic surfaces. We are looking for a product-minded ML systems leader with deep expertise in applied machine learning and production ML infrastructure.
As a Senior Machine Learning Systems Engineer, you'll be at the intersection of search, machine learning and experimentation. You will work directly with cross-functional teams to deliver innovative, ML-powered solutions that directly impact millions of customers.
- Collaborate with your teammates to solve complex problems, from technical design to launch.
- Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
- Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.
- Contribute to best practices in model deployment, monitoring, and evaluation.
- Work closely with other ML engineers, backend developers, and product teams to ship end-to-end innovations.
- Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale.
- Develop and deploy ranking models to optimize ranking to improve the user experience and achieve business objectives
- Develop tools and infra to support rapid experimentation, evaluation, and deployment of prototypes
- Optimize latency, throughput, and resource efficiency for search workloads.
- Transfer your depth of knowledge from your current language to excel as a Software Engineer
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.
- Deliver code reviews, documentation & bug fixes within a strong engineering culture
- Mentor junior members of the team.
- 8+ years experience in multiple hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycle
- Proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
- Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
- Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
- Expertise with one or more prominent languages such as Java, Python, Kotlin, Go, or TypeScript is required.
- Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, or Azure)
- Knowledge to evaluate trade-offs between correctness, robustness, performance, space and time
- Consider the customer impact when making technical decisions
Benefits & Perks
Atlassian 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
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads Atlassian’s India mid-market account executive team, developing regional sales strategies, expanding market share, managing key customer relationships, coaching sellers, setting performance goals, recruiting talent, and collaborating with cross-functional teams. The role also involves executive engagement, market analysis, pipeline management, value-selling enablement, and reporting to senior leadership.
Top Skills:
Analytics ToolsAtlassian SolutionsCRMPipeline Management Tools
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own enterprise and strategic customer relationships through onboarding, adoption, and value realization. Build executive partnerships, guide customer journeys using predictive signals, deliver scalable engagements, mitigate churn risks, advocate for customer needs, and maintain accurate Gainsight records. Collaborate across product, sales, support, marketing, and partners to drive business outcomes and continuous improvement.
Top Skills:
ConfluenceGainsightJIRASalesforceTableau
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Partner with enterprise sales teams and channel partners to understand customer challenges, identify expansion opportunities, and map needs to Atlassian solutions. Deliver compelling product demonstrations, lead technical evaluations, provide implementation guidance, solve customer problems, and support deal closure. Act as a product expert and customer advocate by sharing feedback and competitive insights with product teams.
Top Skills:
Artificial IntelligenceAtlassian Software SuiteCloud Software
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
