🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world decision-making systems, working with a globally distributed research team. You'll drive large-scale RL experiments and improve policy performance and sample efficiency. This is a remote-first role shaping next-generation AI capabilities.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build, execute, monitor, and evaluate large-scale RL experiments
• Optimize RL pipelines for stability and computational efficiency
• Collaborate with teams to integrate RL agents into production systems
• Document findings to support knowledge sharing and innovation

📋 Requirements

• Degree in Computer Science, AI, ML, or related field; PhD preferred
• Strong research background in reinforcement learning
• Hands-on experience with large-scale RL experiments and online RL methods
• Deep understanding of RL concepts including policy gradients and actor-critic methods
• Strong 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 environment with global collaboration
• 🤖 Cutting-edge AI and RL technologies
• 🌐 Global collaboration with highly skilled researchers
• 📈 Career growth opportunities in a fast-paced environment
• 🔬 Innovation-focused culture encouraging experimentation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min
4. 4Final Decision· 15 min