Senior Applied Reinforcement Learning Engineer at Centific

Centific is hiring a Senior Applied Reinforcement Learning Engineer to design and build RL environments simulating enterprise workflows, post-train LLM-based agents, create training pipelines, and develop reward functions, verifiers, and validation frameworks. The role combines classical reinforcement learning, LLM alignment, simulation, and production software engineering, with work in Palo Alto, California or Seattle, Washington on a hybrid or remote basis. Candidates need at least three years of hands-on RL experience, LLM post-training experience, production software engineering skills, and an MS or PhD in computer science, machine learning, or a related field. The salary is $150,000 to $300,000 annually.