🛠 Tech Stack

💼 About This Role

You'll develop advanced reinforcement learning systems for real-world applications as part of a globally distributed research team. Your core impact will be designing and deploying RL algorithms that optimize decision-making in complex environments. This role offers a chance to shape next-generation AI capabilities in a remote-first environment.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and evaluate large-scale RL experiments
• Develop simulation environments and training datasets
• Integrate RL agents into production systems

📋 Requirements

• Degree in Computer Science, AI, or Machine Learning; PhD preferred
• Strong research background in reinforcement learning
• Hands-on experience with Group Relative Policy Optimization (GRPO)
• Deep expertise in PyTorch and RL frameworks

✨ 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 projects
• 📈 Career growth in a global technology environment
• 🔄 Flexible, innovation-focused culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 1 hour
3. 3On-site/team fit· 1 hour