🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. You'll optimize decision-making in complex environments and push the boundaries of AI model performance and scalability. Collaborate with a globally distributed research team in a remote-first environment.

🎯 What You'll Do

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

📋 Requirements

• Degree in Computer Science, AI, or related field
• Research background in reinforcement learning
• Experience with online RL methods like GRPO
• Expertise in PyTorch and RL frameworks

✨ Nice to Have

• PhD preferred
• Experience with multi-modal AI systems
• Experience with resource-efficient model architectures

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 🔬 Cutting-edge AI technologies
• 🌍 Global collaboration opportunities
• 📈 Career growth in fast-paced environment
• 💡 Innovation-focused culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 1 day