🛠 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. You'll drive cutting-edge experiments using large-scale RL and multi-modal architectures. This remote-first role offers the chance to shape next-generation AI systems.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms.
• Build and monitor large-scale RL experiments and benchmarks.
• Develop simulation environments and domain-specific training datasets.
• Optimize RL pipelines for stability, efficiency, and convergence.
• Collaborate with teams to deploy RL agents into production.

📋 Requirements

• Degree in Computer Science, AI, or related field; PhD preferred.
• Proven research background in reinforcement learning.
• Hands-on experience with large-scale RL experiments and online methods like GRPO.
• Deep understanding of policy gradients, actor-critic methods, and optimization.
• Strong expertise in PyTorch and RL frameworks.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Experience with resource-efficient model architectures.
• Publication record in top-tier AI conferences.

🎁 Benefits & Perks

• 🌍 Fully Remote Work Environment with global collaboration.
• 🤖 Cutting-Edge AI Research on RL and multi-modal systems.
• 💡 Innovation-Focused Culture encouraging experimentation.
• 👥 Collaboration with International AI Researchers and engineers.
• 📈 Career Growth Opportunities in a fast-evolving tech environment.

📨 Hiring Process

Estimated timeline: 4-6 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 60 min
4. 4Offer· 30 min