Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met.
Design of Reward Models: In the RL process, designing an effective reward model is crucial. It must accurately reflect the effectiveness of the reasoning process and guide the model to iteratively improve its reasoning ability. This involves not only setting appropriate evaluation criteria across different tasks, but also ensuring the reward model to adapt dynamically during training to match the evolving model performance.
Serve as a primary point of contact for inbound research needs coming from Pre-Sales and Sales team members, scoping market research requirements for client and internal engagements.
Conduct thorough due diligence on prospective issuers, companies, vendors, partners, and counterparties, presenting findings in clear, decision-ready formats.
Participate in the execution and coordination of the research project with the Principal Investigator, Co-Investigators, collaborators and student researchers to ensure project deliverables are met.
Support the PI in the planning, execution, and delivery of the research project, including leading day-to-day technical activities to ensure milestones and deliverables are achieved within timeline and budget.
Data — Extract, clean and analyse fleet telemetry from LionsCloud (task completion, cleaning coverage, interruption and error events) and build a recurring dashboard that reports fleet health by product line and region.
Assist the Principal Investigator and study team in preparation of study and administrative protocols, submission of ethics review/replies to query, monitoring and compliance to human biomedical research
This position will contribute to the execution of the project-funded research activities within the Department of Pathology. The incumbent is expected to undertake central review and annotation of pathology slides, and oversee the process of slide production and digital image acquisition for the purposes of the study.
Co-create with the team: Creativity is at the core of our business. Whether it's building the product or shaping the team, we strive to spark imagination and deliver impact — for ourselves, the platform, the communities we serve, and society as a whole.
Data Processing: Assist in building an automated game data collection pipeline to capture precise internal states and construct a high-quality training dataset.
Develop LLM-based game coding agents to enable automatic code generation, game logic development, error diagnosis, automatic debugging, and iterative optimization.