Senior Machine Learning Engineer

Design & Productionize Safety Models: Architect, train, fine-tune, and deploy ML/LLM-based guardrail and moderation models (text, multi-modal, and code) to safeguard user inputs and model outputs across Atlassian products.

Build Robust Evaluation & Benchmarking: Design offline and online evaluation frameworks, adversarial test suites (red-teaming), and LLM-as-a-judge pipelines to measure precision, recall, false-positive rates, and robustness against model drift.

Optimize for Real-Time Serving: Work at the intersection of model accuracy and low latency (P50/P99 targets) to deliver cost-effective, high-throughput safety filtering integrated with our central AI Gateway and inference layers.

Combat Emerging Threats: Research and build defenses against adversarial prompts, jailbreaks, data leakage, hallucinations, and unauthorized tool-calling behaviors in agentic systems.

Drive Global Compliance & Governance: Support technical readiness for enterprise standards and emerging AI regulations (e.g., EU AI Act, ISO 42001 / AIMS, FedRAMP) through verifiable safety controls, audit logging, and watermarking capabilities.

• Collaborate & Mentor: Partner with engineering managers, staff engineers, data scientists, and product managers to steer technical strategy; provide code/design reviews and mentor junior engineers across the team.