🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world decision-making systems as part of a globally distributed research team. Your work will directly impact large-scale RL experiments and production integration. This remote-first role combines deep research with hands-on implementation.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and execute large-scale RL experiments tracking KPIs
• Develop high-quality simulation environments and training datasets
• Optimize RL pipelines for stability and sample efficiency
• Integrate RL agents into production systems

📋 Requirements

• PhD in Computer Science, AI, or related field
• Strong research background in reinforcement learning
• Hands-on experience with GRPO and online RL methods
• 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 technologies exposure
• 🌍 International research team collaboration
• 📈 Career growth in innovative environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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