🛠 Tech Stack

💼 About This Role

You'll design and implement advanced RL algorithms to optimize decision-making for real-world applications and integrate them into production systems. You'll solve challenges like sample inefficiency and training instability as part of a globally distributed research team.

🎯 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
• Collaborate with teams to integrate 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 (e.g., GRPO)
• Deep understanding of policy gradients and actor-critic methods

✨ 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 research on RL technologies
• 📈 Career growth in a rapidly evolving environment
• 🌍 International team of skilled researchers
• 💡 Innovation-focused culture encouraging experimentation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview (RL focus)· 60 min
3. 3Research Presentation· 45 min
4. 4Offer· 15 min