Remote RL Research Engineer - Cutting-Edge AI

Jobgether; Milano; On-site; EUR 50,000 - 80,000; Full time

Benefits offered by this job

Fully remote work environment

Flexible and innovation-focused culture

Career growth opportunities

Job summary

Jobgether is seeking an AI Research Engineer specializing in Reinforcement Learning to work remotely in Milan, Italy. This position offers the opportunity to engage in cutting-edge AI research focused on advanced reinforcement learning systems. You will design and implement RL algorithms, collaborate on innovative models, and optimize decision-making processes. An ideal candidate should possess a strong background in AI, research-driven skills, and experience with PyTorch and RL frameworks. Benefits include a fully remote work culture and exposure to large-scale AI initiatives.

Qualifications

• Strong research background in reinforcement learning, machine learning, NLP, or AI-related disciplines.
• Hands-on experience conducting large-scale reinforcement learning experiments.
• Deep understanding of reinforcement learning concepts.

Responsibilities

• Design, develop, and implement advanced reinforcement learning algorithms.
• Build, execute, monitor, and evaluate large-scale reinforcement learning experiments.
• Collaborate with engineering and research teams to integrate reinforcement learning agents.

Skills

Reinforcement Learning

Machine Learning

Artificial Intelligence

PyTorch

NLP

Problem Solving

Education

Degree in Computer Science, AI, or related field; PhD preferred

Tools

Reinforcement Learning Frameworks

Job description

Jobgether is seeking an AI Research Engineer specializing in Reinforcement Learning to work remotely in Milan, Italy. This position offers the opportunity to engage in cutting-edge AI research focused on advanced reinforcement learning systems. You will design and implement RL algorithms, collaborate on innovative models, and optimize decision-making processes. An ideal candidate should possess a strong background in AI, research-driven skills, and experience with PyTorch and RL frameworks. Benefits include a fully remote work culture and exposure to large-scale AI initiatives.