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.