As a Senior Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data.
Requirements
- Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts.
- Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
- Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
- Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.
Benefits
- Competitive salary and benefits
- Opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability