🛠 Tech Stack

💼 About This Role

You'll develop and optimize scalable deep learning models for brain-computer interface technologies. Your work will directly impact AI-driven neuroscience applications in a globally distributed team. This role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding
• Improve ML pipelines for performance and scalability
• Collaborate with research scientists on generative modeling
• Maintain high code quality and reproducibility standards

📋 Requirements

• Bachelor's degree in a quantitative discipline
• 3+ years experience in machine learning or deep learning
• Strong Python and PyTorch skills
• Solid understanding of deep learning techniques

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work
• 🔬 Cutting-edge AI and neuroscience projects
• 🤝 Global collaboration with experts
• 🚀 Fast-paced innovation culture
• 📈 Career growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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