🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications as part of a globally distributed research team. Your work will optimize decision-making in dynamic environments, pushing the boundaries of model performance and scalability. This role combines deep research with hands-on implementation in a remote-first environment.

🎯 What You'll Do

• Design, develop, and implement advanced reinforcement learning algorithms.
• Build, execute, and monitor large-scale RL experiments and benchmarks.
• Develop simulation environments and training datasets for RL challenges.
• Optimize RL pipelines for stability, convergence, and computational efficiency.

📋 Requirements

• Degree in Computer Science, AI, or related field; PhD preferred.
• Strong research background in reinforcement learning or AI.
• Hands-on experience with large-scale RL experiments including GRPO.
• Deep expertise in PyTorch and RL frameworks.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Resource-efficient model architectures.
• Proven contributions to advanced AI research initiatives.

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration.
• 🔬 Cutting-edge AI and RL research opportunities.
• 🤝 Work with skilled international AI researchers.
• 📈 Career growth in a rapidly evolving tech environment.
• 💡 Innovation-focused culture with experimentation.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 15 min