🛠 Tech Stack

💼 About This Role

You'll design and develop advanced reinforcement learning algorithms for real-world applications at Jobgether. You'll build intelligent AI models that optimize decision-making in dynamic environments, contributing to cutting-edge RL research. This remote-first role offers the chance to shape next-generation AI capabilities.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making.
• Build, execute, and evaluate large-scale RL experiments.
• Develop simulation environments and domain-specific training datasets.
• Optimize RL pipelines for convergence stability and sample efficiency.

📋 Requirements

• Degree in Computer Science or related field; PhD preferred.
• Strong research background in reinforcement learning.
• Hands-on experience with GRPO and large-scale RL experiments.
• Expertise in PyTorch and end-to-end RL pipelines.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Fully remote work with global collaboration.
• 🔬 Cutting-edge AI and RL technologies.
• 🌍 International research team collaboration.
• 💡 Innovation-focused culture with experimentation.
• 📈 Career growth in a global tech environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min