AI Research Engineer (Agentic Reinforcement Learning)
Core
Develop advanced reinforcement learning techniques and scalable training infrastructure for multimodal AI architectures (text, images, audio) to solve complex real-world challenges.
Role type
Senior IC AI Research Engineer (Agentic Reinforcement Learning)
Builds
Next-generation intelligent systems, autonomous AI agents, and multimodal frameworks
Domain
Artificial Intelligence, Machine Learning, Multimodal Systems
Deliverable
production ML models
Required skills
Reinforcement learning algorithms, Multimodal AI, Deep learning frameworks (PyTorch), Reward modeling, Simulation environments, Policy optimization, Large-scale experimentation, Research publication
Preferred skills
PhD in ML/NLP/CV, Experience with diffusion-based models, Autoregressive architectures, Online RL environments
Technologies
PyTorch, Diffusion models, Autoregressive models, Simulation environments
Responsibilities
Research and develop RL algorithms for multimodal models, Design scalable RL infrastructure, Develop and optimize reward modeling strategies, Create and maintain multimodal simulation environments, Design rigorous evaluation protocols, Analyze and optimize policy performance, Investigate emerging RL paradigms, Publish research at top-tier conferences
