🛠 Tech Stack

💼 About This Role

You'll design and develop advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making in dynamic environments. This role offers the chance to shape next-generation AI within a remote-first, innovative research team.

🎯 What You'll Do

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

📋 Requirements

• Degree in Computer Science, AI, or related field; PhD preferred
• Strong research background in reinforcement learning
• Hands-on experience with large-scale RL experiments
• Deep understanding of 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 projects
• 🧪 Innovation-focused culture encouraging experimentation
• 🌍 Collaboration with international researchers
• 📈 Career growth in evolving tech environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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