Senior ML Engineer (AI Research/ Portability)
Tasks
- Build AI agent architectures
- Build scalable memory and context systems
- Build testing infrastructure
- Collaborate with engineering, security, and product teams
- Create evaluation frameworks
- Define agent schemas interfaces and standards
- Design machine learning models
- Develop model routing systems
- Develop research software APIs integration layers
- Develop retrieval systems
- Document research findings
- Evaluate machine learning models
- Implement multi-agent workflows
- Optimize quality cost latency
- Prototype tool execution for agents
- Research agent interoperability
- Research optimization techniques
- Train machine learning models
Perks/Benefits
- Career growth
- Collaborative international team
- Continuous learning support
- Flexible working environment
- Inclusive workplace
- Ownership and autonomy
Skills/Tech-stack
APIs | Benchmarking | CI/CD | Data schemas | Decision Making | Distillation | Distributed Systems | Evaluation Frameworks | Integration | Language Models | Large Language Models | Machine Learning | Memory Architectures | Model routing | Observability | Preference Learning | Privacy | Provenance | Python | Reinforcement Learning | Reproducibility | Retrieval systems | Security | Statistical decision making | Testing | Uncertainty Estimation | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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