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The Role
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.
Summary Generated by Built In
Engineering | Remote, India | 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
Skills Required
- 8+ years of experience in hands-on software or technology leadership roles with end-to-end software development lifecycle responsibility
- Experience developing, deploying, and maintaining end-to-end machine learning systems, from data engineering through model serving and monitoring
- Experience designing and building scalable, fault-tolerant, high-performance distributed systems for machine learning
- Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous model training, deployment, and monitoring
- Expertise in at least one prominent programming language, such as Java, Python, Kotlin, Go, or TypeScript
- Understanding of SaaS, PaaS, and IaaS industries with hands-on experience using public cloud offerings such as AWS, GCP, or Azure
- Ability to evaluate trade-offs among correctness, robustness, performance, space, and time
- Ability to consider customer impact when making technical decisions
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
Atlassian Compensation & Benefits Highlights
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Parental & Family Support — Published U.S. policies include 26 weeks of paid leave for birthing parents and 20 weeks for non-birthing parents, alongside fertility, adoption, and surrogacy support. The offering also extends to resources like neurodiverse family support, indicating depth beyond standard leave.
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Retirement Support — U.S. benefits include a 401(k) with a 100% company match on the first 4% and immediate vesting, with region-specific retirement programs elsewhere. This structure provides clear, reliable employer contributions that bolster long-term savings.
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Flexible Benefits — The package features a Flex Wallet for reimbursable lifestyle and wellness expenses and a monthly remote-work allowance under the Team Anywhere model. These options enable employees to tailor benefits to their needs.
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The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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