Senior Machine Learning Engineer
Australia - Melbourne - Hybrid
R
AUD 148K-210K (estimate) Senior-level Full Time
Tasks
- Build planning and tool dispatch systems
- Build reinforcement learning training infrastructure
- Create multi turn evaluation and trajectory analysis
- Design agent architectures
- Design multi agent delegation patterns
- Develop memory and error recovery mechanisms
- Evaluate agent performance with regression detection
- Implement guardrails for tool misuse and prompt injection
- Implement reward curricula and feedback loops
- Integrate quality gates into CI
Perks/Benefits
Skills/Tech-stack
Access Control | Agent systems | CI/CD | Capabilities Based Access Control | Error Recovery | Evaluation | Injection Defense | Language Models | Large Language Models | Machine Learning | Memory systems | Multi-Agent | Multi-Agent Systems | Output Validation | Planning Algorithms | Prompt injection | Prompt injection defense | PyTorch | Python | Regression testing | Reinforcement Learning | Reinforcement Learning with Language Models | Reward shaping | Tool use | Trajectory analysis
Education
N/A
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