🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies at the intersection of AI, neuroscience, and digital finance. You'll collaborate with a globally distributed team to build generative AI systems that decode neural activity. This role offers strong exposure to research-oriented work with practical engineering impact.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding
• Advance generative modeling and representation learning initiatives
• Maintain scalable machine learning pipelines across distributed environments
• Contribute to research experimentation and technical documentation

📋 Requirements

• Bachelor's in Computer Science, Mathematics, or related quantitative field
• 3+ years of experience in machine learning or AI engineering
• Strong Python skills and hands-on experience with PyTorch
• Solid understanding of supervised, self-supervised, and generative learning

✨ Nice to Have

• Experience with Hugging Face, Transformers, or Diffusers
• Generative models or neural data (EEG, fMRI, MEG) experience
• PhD research experience and publications in AI or neuroscience

🎁 Benefits & Perks

• 🏖️ Fully remote with global collaboration
• 💡 Cutting-edge AI and neuroscience projects
• 📈 Career growth in a rapidly evolving international organization
• 🤝 Expert collaboration with leading AI and fintech professionals
• ⏰ Autonomous and flexible work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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