🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. Your core impact will be optimizing decision-making in complex environments through large-scale experiments. You'll collaborate with a globally distributed team on cutting-edge AI research.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making.
• Build and execute large-scale RL experiments and track KPIs.
• Optimize RL pipelines for stability and computational efficiency.
• Integrate RL agents into production systems and real-world applications.

📋 Requirements

• PhD in Computer Science, AI, or related field preferred.
• Strong research background in reinforcement learning or AI.
• Hands-on experience with large-scale RL experiments including GRPO.
• Expertise in PyTorch and RL frameworks for end-to-end pipelines.

✨ 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 and RL projects.
• 🤝 International research team collaboration.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Technical Interview· 1 hour
3. 3Research Presentation· 1 hour