Hiring: Senior Machine Learning System Engineer Company: Atlassian Location: Austin, TX Job Posted Time: 2026-09-16 09:58:32 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Search Platform, ML Systems Engineering, Retrieval Pipelines, Vector Indexing, Semantic Search, Neural Rankers, Embedding Models, Reranking Systems, Triton, PyTorch, RAG, Agentic Search, FinOps, Observability, SLOs, Distributed Systems Experience: - Senior-level experience in machine learning systems engineering or a closely related field - Proven track record of owning and driving the design, development, and production deployment of ML systems - Experience delivering ML components end-to-end, from experimentation through production rollout across multiple regions and tenants - Experience building and maintaining high-throughput, low-latency search systems with strict SLO targets for availability, latency, and relevance quality - Experience with production ML model development and serving, including neural rankers, embedding models, and reranking systems - Experience designing retrieval systems for agentic and RAG use cases, including personalized indexes, grounding pipelines, and multi-step retrieval workflows - Experience with observability, monitoring, and incident response for search serving systems - Experience applying FinOps principles and cost optimization across vector search infrastructure and ML serving fleets - Experience mentoring junior engineers and contributing to design reviews Required Skills: - Scalable search serving infrastructure design and implementation - Retrieval pipelines and vector indexing systems - Embedding-based semantic search - ML model integration using frameworks such as Triton and PyTorch - Reliability, scalability, and cost efficiency in ML serving - Robust monitoring and evaluation harnesses - Retrieval quality, freshness, and relevance at scale - On-call practices, runbook development, and proactive capacity planning - Cross-functional collaboration with engineering leads, product managers, and platform stakeholders - Technical roadmap definition and delivery against team OKRs Qualifications: - Strong background in machine learning systems engineering - Ability to translate experimental models into production-grade systems - Ability to collaborate with ML researchers - Ability to partner with AI platform teams to evolve search infrastructure as a foundational layer for AI agents - Ability to champion engineering best practices across the team Compensation: - Base pay ranges for new hires in the United States (three geographic pay zones): - Zone A: $180,000 - $235,000 - Zone B: $162,000 - $211,500 - Zone C: $149,400 - $195,050 - This role may also be eligible for benefits, bonuses, commissions, and equity. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!