Senior ML Engineer (AI Research/ Portability)

📋 Description

• Design, implement, train, and evaluate ML models, routing systems, and AI agent architectures.
• Develop portable abstractions across models, providers, protocols, tools, and environments.
• Build systems for model routing, quality-cost-latency optimization, and intelligent decision-making.
• Create evaluation frameworks and benchmarks for AI quality, reliability, safety, and portability.
• Develop scalable memory, context management, retrieval, provenance, and user-controlled AI
• Define schemas, interfaces, and standards for agent capabilities, tools, actions, and communication.

🎯 Requirements

• Strong ML, AI systems, and software engineering expertise; experience designing/evaluating modern
• Deep expertise in 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, execute, and analyze ML experiments with solid statistics.
• Experience formulating research questions, testing hypotheses, and deriving reliable conclusions.
• Knowledge of evaluation methodologies, reproducibility, uncertainty, generalization, and preventing

🎁 Benefits

• Competitive compensation package.
• Career growth opportunities and learning support.
• Flexible environment with ownership and autonomy.
• Opportunity to work on impactful AI research and projects.
• Collaborative culture with international teams.
• Chance to contribute to future AI technologies.