🛠 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. Your work will contribute to groundbreaking projects decoding neural activity using generative AI. This role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding applications
• Contribute to generative modeling and representation learning initiatives
• Maintain ML pipelines for performance, scalability, and reliability
• Support deployment of AI models across diverse computing environments

📋 Requirements

• 3+ years of experience in machine learning or AI engineering
• Strong Python programming skills
• Hands-on experience with PyTorch
• Understanding of supervised, self-supervised, and generative deep learning techniques

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Fully remote work environment with global collaboration
• 🧠 Work on cutting-edge AI and neuroscience technologies
• 📄 Opportunity to contribute to research and publications
• 🚀 Fast-paced culture with significant autonomy
• 🌍 Flexible, globally distributed team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min