Senior GenAI ML Systems Engineer — Remote

Atlassian; Mountain View (CA); On-site; USD 237,000 - 309,000; Full time

Benefits offered by this job

Bonuses

Equity

Commissions

Job summary

At Atlassian, we are pursuing Generative AI breakthroughs and building scalable ML systems to power GenAI products and knowledge innovations in the United States. This Senior role leads architecture and deployment of end-to-end ML pipelines, collaborating with engineers, data scientists, and product teams to deliver reliable, high-performance services.

Based in the US, you’ll help shape the technical direction, implement efficient training/inference stacks, and drive production readiness across

Qualifications

• 6+ years in ML systems engineering, backend engineering, or infrastructure roles.
• Proven track record of building and scaling ML-powered services in production.
• Experience with large-scale model training, inference pipelines, or search/retrieval systems.
• Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent industry experience.

Responsibilities

• Architect and implement scalable systems for training, fine-tuning, and serving large language models and embeddings.
• Build efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data.
• Develop tools and infra to support rapid experimentation, evaluation, and deployment of prototypes.
• Partner with applied scientists to bring new ideas to life in robust, production-ready pipelines.
• Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.
• Optimize latency, throughput, and resource efficiency for GenAI workloads.
• Work closely with ML engineers, backend developers, and product teams to ship end-to-end innovations.
• Contribute to best practices in model deployment, monitoring, and evaluation.
• Help establish the team as a world-class hub for GenAI systems innovation.

Skills

ML systems engineering

Backend engineering

Performance optimization

Python

PyTorch

TensorFlow

Hugging Face

Weaviate

Pinecone

FAISS

LangChain

LlamaIndex

AWS

GCP

Azure

Kubernetes

Docker

Education

Bachelor’s or Master’s in CS/ML or equivalent

Tools

Weaviate

Pinecone

FAISS

LangChain

LlamaIndex

AWS

GCP

Azure

Kubernetes

Docker

Python

PyTorch

TensorFlow

Hugging Face

Job description

At Atlassian, we are pursuing Generative AI breakthroughs and building scalable ML systems to power GenAI products and knowledge innovations in the United States. This Senior role leads architecture and deployment of end-to-end ML pipelines, collaborating with engineers, data scientists, and product teams to deliver reliable, high-performance services.

Based in the US, you’ll help shape the technical direction, implement efficient training/inference stacks, and drive production readiness across