🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making in complex environments using large-scale experiments and cutting-edge AI models. This fully remote role offers collaboration with a global research team on transformative AI systems.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and evaluate large-scale RL experiments
• Develop simulation environments and training datasets
• Optimize RL pipelines for efficiency and stability

📋 Requirements

• Degree in Computer Science, AI, or ML; PhD preferred
• Strong research background in reinforcement learning
• Hands-on experience with large-scale RL experiments and GRPO
• Deep expertise in PyTorch and RL frameworks

✨ Nice to Have

• Experience with multi-modal AI systems
• Resource-efficient model architectures

🎁 Benefits & Perks

• 🏠 Fully remote work with global collaboration
• 🤖 Cutting-edge AI and RL technologies
• 🧠 Advanced multi-modal architectures exposure
• 🌟 Innovation-focused culture
• 📈 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· 45 min