🛠 Tech Stack

💼 About This Role

You'll join a globally distributed research team designing advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making in dynamic environments, pushing the boundaries of model performance and scalability. This remote-first role combines deep research with hands-on implementation.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and evaluate large-scale RL experiments with KPIs
• Optimize RL pipelines for exploration, convergence, and efficiency
• Integrate RL agents into production systems

📋 Requirements

• Degree in Computer Science, AI, or related field
• Strong research background in reinforcement learning or AI
• Hands-on experience with large-scale RL experiments including GRPO
• Expertise in PyTorch and RL frameworks

✨ Nice to Have

• PhD in relevant field
• Experience with multi-modal AI systems
• Resource-efficient model architectures

🎁 Benefits & Perks

• 🏖️ Fully remote work with global collaboration opportunities
• 🚀 Cutting-edge AI and RL technologies
• 📚 Exposure to advanced multi-modal architectures
• 💡 Flexible and innovation-focused culture
• 🌍 Collaboration with international AI researchers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Research presentation· 60 min