Senior Machine Learning Engineer
Australia - Melbourne - Hybrid
R
AUD 145K-186K (estimate) Senior-level Full Time
Tasks
- Analyze agent trajectories
- Automate skill discovery
- Build continuous agent evaluation frameworks
- Build task agents
- Create preference data pipelines
- Design memory systems
- Enforce capabilities based access
- Engineer enterprise guardrails
- Implement self improving loops
- Implement supervisor governance patterns
- Optimize agentic workflows
- Perform automated failure analysis
- Refine reasoning
Perks/Benefits
Skills/Tech-stack
AI Risk Management Framework | Agent systems | Agentic Workflows | Anomaly Detection | Content Safety | Continuous Evaluation | Governance | Input validation | LLM Simulators | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Management Framework | Memory systems | Multi-Agent | Multi-Agent Systems | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | Planning Algorithms | Prompt injection | PyTorch | Python | Risk Management Framework | Tool use | Trajectory analysis | Transformer Architectures
Education
N/A
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