🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. You'll shape next-generation AI capabilities in a globally distributed research team. This role offers a remote-first environment focused on technical excellence.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making.
• Build, execute, and evaluate large-scale RL experiments.
• Optimize RL pipelines for stability, efficiency, and convergence.
• Integrate RL agents into production systems.

📋 Requirements

• Degree in CS, AI, or ML; 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.
• Experience with resource-efficient model architectures.

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration.
• 🤖 Cutting-edge AI and RL technologies.
• 🧪 Innovation-focused culture encouraging experimentation.
• 👥 Collaboration with international AI researchers.
• 📈 Career growth in a rapidly evolving field.

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· N/A