🛠 Tech Stack

💼 About This Role

You'll design and develop advanced reinforcement learning algorithms for real-world applications. Your work will optimize decision-making across dynamic environments, pushing the boundaries of model performance and scalability. This remote-first role offers global collaboration with top AI researchers.

🎯 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
• Collaborate with teams to deploy RL agents into production

📋 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 including GRPO
• Expertise in PyTorch and RL frameworks

✨ Nice to Have

• Experience with multi-modal AI systems
• Resource-efficient model architecture knowledge

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 🔬 Cutting-edge AI and RL technologies
• 🌍 Global collaboration with international researchers
• 📈 Career growth in a rapidly evolving tech environment
• 💡 Innovation-focused culture encouraging experimentation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min