🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and AI-driven neuroscience. You'll collaborate with cross-functional teams to advance generative modeling and deploy cutting-edge AI infrastructure.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling.
• Improve ML pipelines for high performance and scalability.
• Contribute to research experiments and technical documentation.
• Maintain software engineering standards and code quality.

📋 Requirements

• Bachelor's degree in quantitative discipline.
• 3+ years experience in ML/deep learning/AI.
• Python programming and PyTorch framework.
• Understanding of deep learning techniques.

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers.
• Experience with generative models or neural data (EEG, fMRI, MEG).
• PhD and publications in AI/neuroscience conferences.

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global collaboration.
• 🧠 Cutting-edge AI and neuroscience technologies.
• 🚀 Advanced research in deep learning and generative AI.
• 🤝 Collaboration with leading experts in AI and fintech.
• 📈 Career growth in rapidly evolving international organization.

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min