AI Research Engineer – Multi-Modal Reinforcement Learning

This is a fully remote position, open to applicants in Italy.

📋 Description

• Perform research on reinforcement learning algorithms tailored for multimodal models,

• Design and establish reinforcement learning infrastructure that facilitates scalable training,

• Develop and enhance reward modeling techniques,

• Construct and manage multimodal simulation environments and datasets,

• Evaluate and optimize policy performance across various modalities,

• Explore and innovate next-generation reinforcement learning approaches,

• Disseminate research outcomes at prestigious conferences.

⛳️ Requirements

• A Master's degree in Computer Science or a related discipline is mandatory;

• A PhD in Machine Learning, NLP, Computer Vision, or a closely aligned field is highly desirable,

• Demonstrated experience conducting large-scale reinforcement learning experiments in multimodal and vision-focused systems,

• In-depth knowledge of reinforcement learning algorithms,

• Strong expertise in PyTorch and deep learning frameworks applicable to vision and multimodal AI,

• A solid record of research publications in esteemed conferences.

🏝️ Benefits

• Competitive salary

• Flexible work arrangements

• Professional development opportunities