Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
Collaborate with a diverse team of international researchers, engineers, and fellow interns to advance project goals and translate findings into practical applications.
Collaborate with a diverse team of international researchers, engineers, and fellow interns to advance project goals and translate findings into practical applications.
Evaluation & Reward/Verifier Systems: Help build online Reward/Verifier systems and automated evaluation frameworks — annotation-free automated evaluation, evaluation of long-cycle complex tasks and cross-domain capabilities, and multi-agent collaboration evaluation standards.
Shape the business angle of AI product work by assessing user value, operational impact, adoption barriers, stakeholder readiness, productivity gains, and value realisation potential.
Support MDW share housekeeping by designing reliable processes to move very large folders, including folders containing more than 10,000 files, from active MDW shares to archive MDW shares.
Supporting AI experimentation: Contribute to model selection, training, experimentation, evaluation, testing and validation, with exposure to deployment through batch jobs, services and APIs.
Practice AI-native development: use approved GenAI coding assistants and agents to explore requirements, design solutions, generate code and tests, write documentation, and troubleshoot issues.