Conduct reinforcement learning (RL) training experiments for long-horizon tasks, including hyperparameter tuning, performance analysis, and iterative optimization.
Domain expert: You've scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
Bachelor's degree or above in Computer Science or related fields, with 3+ years of engineering experience in at least one of Python, TypeScript, Java, or C/C++.
- Develop overall concepts for improving the user experience within a business webpage or product, ensuring all interactions are intuitive and convenient for customers.
Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
Build the agentic-security surface. Partner on red-teaming and adversarial evaluation - tool-chain exploits, RBAC and permission-inheritance failures, multi-turn safety erosion - so we catch what a motivated adversary would.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.