Base Salary
$196k - $309k/yr
Responsibilities
- Architect and implement scalable systems for training, fine-tuning, and serving large language models and embeddings.
- Build retrieval, hybrid search, and RAG pipelines using knowledge-grounded data.
- Develop experimentation, evaluation, and deployment infrastructure for rapid prototyping.
- Partner with applied scientists to convert new ideas and proof-of-concept systems into production-ready services.
- Optimize latency, throughput, and resource efficiency for GenAI workloads.
- Collaborate with ML engineers, backend developers, and product teams to deliver end-to-end innovations.
- Contribute to model deployment, monitoring, evaluation, and ML systems reliability practices.
- Lead technical direction and help establish a world-class GenAI systems innovation hub.
Requirements
- 6+ years of experience in ML systems engineering, backend engineering, or infrastructure roles.
- Strong track record building and scaling ML-powered services in production.
- Experience with large-scale model training, inference pipelines, or search and retrieval systems.
- Proficiency with backend systems and ML frameworks including Python, PyTorch, TensorFlow, and Hugging Face.
- Experience with vector databases such as Weaviate, Pinecone, and FAISS.
- Experience with orchestration frameworks such as LangChain and LlamaIndex.
- Strong coding skills and ability to optimize systems for performance and reliability.
- Familiarity with AWS, GCP, Azure, Kubernetes, and Docker.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
- Preferred qualifications include distributed systems, high-performance computing, GPU optimization, GenAI evaluation metrics, monitoring, observability, ML reliability practices, and open-source infrastructure or ML systems contributions.
Benefits
- Flexible work arrangement allowing office, remote, or hybrid work, with hiring in countries where Atlassian has a legal entity.
- Health and wellbeing resources and paid volunteer days.
- Potential eligibility for benefits, bonuses, commissions, and equity.
- Employment requires identity verification, which may include biometric data, in line with local law.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.