ppbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Research Scientist (Model-based RL) based in Italy. /b /p pThis role offers the opportunity to shape the future of intelligent industrial automation through advanced artificial intelligence research.br/You will develop cutting-edge reinforcement learning systems that enable real-world machines and facilities to continuously learn and optimize performance.br/Working at the intersection of AI research, control theory, and industrial applications, you will help transform complex operational environments.br/The position combines deep technical exploration with practical deployment, turning innovative research into impactful solutions.br/You will collaborate with multidisciplinary experts, contribute to ambitious research initiatives, and influence the direction of AI-driven control systems.br/This is an ideal opportunity for a researcher passionate about applying advanced AI techniques to solve large-scale, real-world challenges. /p h3Accountabilities: /h3 ul liDesign, implement, and evaluate model-based reinforcement learning agents, including planning-based controllers such as MPC and MPPI, as well as the software prototypes required for deployment in real industrial control systems. /li liDevelop learned dynamics models and world models capable of generalizing across different systems, including training approaches such as pretraining, curriculum learning, active learning, adversarial learning, and fine-tuning. /li liResearch and apply advanced methods in safe reinforcement learning, constrained control, scenario planning, Bayesian reinforcement learning, and related areas to ensure reliable and secure AI agent deployment.



/li liTranslate research discoveries into practical outcomes by developing production-ready solutions and leading the rollout of research initiatives or large-scale projects. /li liCommunicate research findings, technical developments, and project results clearly through written documentation, presentations, and internal or external discussions. /li liCollaborate with research teams, engineers, and external partners to transform innovative AI concepts into impactful industrial applications. /li liMentor and guide Research Engineers by helping them apply advanced AI research methodologies to complex industrial challenges. /li liIndependently define new research directions and contribute to the long-term evolution of intelligent control technologies. /li /ul h3Requirements: /h3 ul liPhD in machine learning, control systems, computer science, or a related technical field, or equivalent practical experience with strong expertise in model-based reinforcement learning. /li liAt least 2 years of research experience in academia or industry after completing a PhD. /li liDeep knowledge and hands‑on experience in areas such as model-based reinforcement learning, model‑free reinforcement learning, safe reinforcement learning, scenario planning, Bayesian reinforcement learning, and related areas to ensure reliable and secure AI agent deployment. /li liProven experience building and evaluating AI agents using simulators, including experience addressing the challenges of simulation-to-real-world transfer.



/li liStrong programming skills in Python and experience with machine learning frameworks such as PyTorch and scientific computing libraries such as SciPy. /li liExperience working with scalable experimentation environments and infrastructure such as distributed computing, Ray, Kubernetes, Docker, or cloud platforms like GCP. /li liStrong research background demonstrated through publications or contributions in reinforcement learning, control systems, artificial intelligence, or related fields. /li liAbility to collaborate effectively in a remote, international environment while demonstrating ownership, transparency, empathy, operational excellence, and strong teamwork. /li liPassion for applying AI research to industrial systems and improving efficiency, sustainability, and resource utilization. /li /ul h3Benefits: /h3 ul liCompetitive base salary ranging from b£87,681 to £165,379 /b, depending on location tier, experience, qualifications, and other relevant factors. /li liEligibility for meaningful equity participation. /li liFully remote work environment with flexibility across multiple time zones. /li liMedical, dental, and vision insurance, with benefits varying depending on location. /li liUnlimited paid time off with a required minimum of 20 days per year. /li liPaid parental leave, depending on regional policies. /li liFlexible stipends supporting workspace setup, personal well‑being, and professional development. /li liCompany-provided MacBook. /li liOpportunities for significant ownership, career growth, and professional development in a fast-paced AI-focused environment. /li liAccess to training programs covering technical skills, product knowledge, customer immersion, and professional growth. /li liRemote‑first culture built around documentation, asynchronous collaboration, regular team communication, and virtual team-building activities. /li /ul pWe appreciate your interest and wish you the best! /p /p #J-18808-Ljbffr

📌 Senior AI Research Scientist (Model-based RL) (Italia)
🏢 Jobgether
📍 Italia