🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for a globally distributed research team, optimizing decision-making in dynamic environments. Your core impact will be building intelligent, adaptive AI models and deploying them in production systems. This remote-first role combines deep technical research with hands-on implementation.

🎯 What You'll Do

• Design and implement advanced RL algorithms for optimization tasks.
• Build and evaluate large-scale RL experiments and benchmarks.
• Develop simulation environments and training datasets.
• Optimize RL pipelines for stability and efficiency.
• Deploy 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 online RL methods like 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 with global collaboration.
• 🤖 Cutting-edge AI & RL technologies.
• 📚 Exposure to large-scale AI research.
• 💡 Flexible innovation-focused culture.
• 🚀 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· 45 min