🛠 Tech Stack

💼 About This Role

You'll design and implement advanced RL algorithms, conducting large-scale experiments to optimize decision-making in simulated and real-world environments. Your work will push the boundaries of reinforcement learning and multi-modal AI systems. This remote-first role offers a chance to shape next-generation AI capabilities within a globally distributed research team.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms.
• Build, execute, and evaluate 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).
• Research background in reinforcement learning or AI.
• Hands-on experience with online RL methods like GRPO.
• Expertise in PyTorch and RL frameworks.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Resource-efficient model architectures experience.

🎁 Benefits & Perks

• 🏡 Fully remote work with global collaboration.
• 🚀 Cutting-edge AI technologies.
• 🌍 Exposure to large-scale AI research.
• 💡 Flexible and innovation-focused culture.
• 📈 Career growth opportunities.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Research presentation· 45 min
4. 4Offer· 1 week