Support engineering with customer-facing products and internal research tooling.
Focus on Core Platform: simulation engines, data tooling, experiments.
Conduct benchmarking and evaluation to maintain data quality.
Code and run experiments under a mentor; improve simulation performance.
Help modularize features and handle large-scale event processing.
Collaborate with founders and researchers to advance AI data infrastructure.

🎯 Requirements

LLM research and effectiveness studies
Evaluation and benchmark design for AI agents
Proficiency with AI coding agents and development tools
Foundational knowledge in Python, data science, or machine learning
Excellent communication; explain complex concepts clearly
Pragmatism, velocity, curiosity about AI and tech

🎁 Benefits

Work on core AI models and data serving top researchers
Work with experienced operators who care about long-term impact
Future-proof your career by automating repetitive work

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