🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications, working within a globally distributed research team. Your core impact involves building intelligent, adaptive AI models that optimize decision-making in dynamic environments. This remote-first position offers the chance to shape next-generation AI capabilities through cutting-edge experimentation.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms.
• Build and execute large-scale RL experiments.
• Develop simulation environments and training datasets.
• Optimize RL pipelines for stability and efficiency.

📋 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 and GRPO.
• Expertise in PyTorch and RL frameworks.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Knowledge of resource-efficient model architectures.

🎁 Benefits & Perks

• 🌍 Fully remote work environment.
• 🔬 Work on cutting-edge AI/RL technologies.
• 🤝 Collaboration with global AI researchers.
• 📈 Career growth in a rapidly evolving tech environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interview· 120 min