🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making across dynamic environments. You'll collaborate with a globally distributed research team on cutting-edge RL and multi-modal architectures.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making.
• Build, execute, and evaluate large-scale RL experiments.
• Develop simulation environments and training datasets.
• Optimize RL pipelines for exploration, stability, and efficiency.
• Deploy RL agents into production systems.

📋 Requirements

• Degree in CS, AI, ML, or related field; PhD preferred.
• Strong research background in reinforcement learning.
• Hands-on experience with large-scale RL experiments and GRPO.
• Deep understanding of policy gradients, actor-critic methods.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Experience with resource-efficient model architectures.

🎁 Benefits & Perks

• 🏠 Fully remote work with global collaboration.
• 🤖 Cutting-edge AI/RL technologies.
• 🌍 International research team.
• 📈 Career growth in a fast-paced environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 60 min
4. 4Offer· 30 min