🛠 Tech Stack

💼 About This Role

You'll develop advanced reinforcement learning systems for real-world applications, focusing on large-scale RL algorithms and multi-modal architectures. You'll optimize decision-making across dynamic environments and deploy models into production. This remote-first role combines deep research with hands-on implementation, offering the chance to shape next-generation AI capabilities.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build, execute, and evaluate large-scale RL experiments
• Optimize RL pipelines for exploration, stability, and efficiency
• Deploy RL agents into production systems

📋 Requirements

• Degree in Computer Science, AI, or related field; PhD preferred
• Strong research background in reinforcement learning or AI
• Hands-on experience with large-scale RL experiments and GRPO
• 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/RL tech exposure
• 🧪 Flexible, innovation-focused culture
• 🌐 International team of researchers and engineers
• 📈 Career growth in fast-evolving environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Research deep-dive· 60 min