Senior ML Engineer (AI Research/ Portability)

📋 Description Research, design, and implement ML systems for AI portability across environments. Build prototypes, evaluation frameworks, and production-ready components for evolving AI agents. Develop portable abstractions across models, providers, protocols, tools, and execution Build routing systems and optimization for quality, cost, and latency; enable intelligent Create evaluation benchmarks to measure AI quality, reliability, safety, and portability. Develop scalable memory, context management, retrieval, provenance, and user experiences. 🎯 Requirements Strong expertise in ML, large language models, statistical decision-making, or related AI fields. Deep knowledge of model routing, AI agents, retrieval systems, memory architectures, evaluation Experience building/evaluating modern language-model or agent-based systems with multi-turn Proven ability to design, run, and analyze ML experiments with solid statistics. Experience formulating research questions, testing hypotheses, and drawing reliable 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. Impactful AI research and engineering projects. Collaborative culture with international teams. Chance to contribute to future AI technologies.