Senior ML Engineer (AI Research/ Portability)

📋 Description Research, design, and implement ML systems to improve AI portability across environments. Build prototypes, evaluation frameworks, and production components for intelligent systems. Design models, routing systems, and agent architectures for cross-model interoperability. Develop portable abstractions across models, providers, and tools. Create evaluation benchmarks for quality, reliability, safety, and portability. Collaborate with research, engineering, security, and product teams to deploy ideas. 🎯 Requirements Strong understanding of ML, large language models, statistical decision-making, or related AI Deep expertise in model routing, AI agents, retrieval systems, memory architectures, evaluation Experience building and evaluating modern language-model or agent-based systems with multi-turn Proven ability to design, execute, and analyze ML experiments with strong statistics. Experience formulating research questions, testing hypotheses, and deriving conclusions. Knowledge of evaluation methodologies, reproducibility, uncertainty estimation, generalization, and 🎁 Benefits Competitive compensation package. Career growth opportunities and continuous learning support. Flexible working environment with ownership and autonomy. Opportunity to work on impactful AI research and engineering projects. Collaborative culture with international teams. Chance to contribute to future AI technologies.