Senior ML Engineer (AI Research/ Portability)

📋 Description

• Design, train, and evaluate ML models and AI agent architectures.
• Develop portable abstractions across models, providers, protocols, tools, and environments.
• Build routing systems and memory/retrieval architectures for scalable AI.
• Create evaluation frameworks and benchmarks for quality and portability.

🎯 Requirements

• Strong ML fundamentals; experience with LLMs or agent-based systems.
• Expertise in model routing, retrieval systems, memory architectures, evaluation frameworks
• Experience building and evaluating modern language-model or agent-based systems with multi-turn
• Proven ability to design, execute, and analyze ML experiments with solid statistics; strong Python
• Experience with APIs, distributed services, data schemas, testing, observability, version control
• Ability to consider security, privacy, provenance, and reliability in AI systems; strong

🎁 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 international teams.