Senior ML Engineer (AI Research/ Portability)

📋 Description

• The role focuses on researching, designing, and implementing advanced machine learning systems that
• Design, implement, train, and evaluate ML models, routing systems, and AI agent architectures.
• Develop portable abstractions across models, providers, protocols, tools, and agent execution
• Build systems for model routing, quality-cost-latency optimization, and intelligent decision-making.
• Create evaluation frameworks and benchmarks to measure AI system quality, reliability, safety, and
• Develop scalable solutions for memory, context management, retrieval, provenance, and

🎯 Requirements

• Strong understanding of machine learning, large language models, statistical decision-making, or
• Deep expertise in model routing, AI agents, retrieval systems, memory architectures, evaluation
• Experience building and evaluating modern language-model or agent-based systems, including
• Proven ability to design, execute, and analyze ML experiments with strong statistical methodology.
• Experience formulating research questions, testing hypotheses, and deriving 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 strong ownership and autonomy.
• Opportunity to work on impactful AI research and engineering projects.
• Collaborative culture with talented international teams.
• Chance to contribute to the development of future AI technologies.