🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications, working with a globally distributed research team. Your core impact is building intelligent, adaptive AI models that optimize decision-making in dynamic environments. This role offers the opportunity to shape next-generation AI capabilities within a remote-first, innovative environment.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms.
• Build and evaluate large-scale RL experiments with KPI tracking.
• Develop simulation environments and training datasets for RL challenges.
• Optimize RL pipelines for stability and efficiency.
• Collaborate with teams to integrate RL agents into production systems.

📋 Requirements

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

✨ Nice to Have

• Experience with multi-modal AI systems.
• Experience with resource-efficient model architectures.
• Proven ability to solve complex RL challenges.

🎁 Benefits & Perks

• 🏖️ Fully remote work with global collaboration opportunities.
• 🔬 Cutting-edge AI and RL technologies exposure.
• 🌐 International research team collaboration.
• 🚀 Career growth in a fast-paced tech environment.
• 💡 Innovation-focused culture with continuous learning.

📨 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. 4Offer· 15 min