🛠 Tech Stack

💼 About This Role

You'll design, develop, and implement advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making across dynamic environments, collaborating with a globally distributed research team. This role combines deep research with hands-on implementation in a remote-first environment.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making
• Build, execute, and evaluate large-scale RL experiments
• Optimize RL pipelines for stability and efficiency
• Integrate RL agents into production systems

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🔬 Cutting-edge AI research opportunities
• 🔄 Flexible, innovation-focused culture
• 🤝 International team of AI experts

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 60 min