🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and collaborate with researchers on generative AI systems that decode neural activity. Your work will directly impact cutting-edge neuroscience applications in a fully remote, globally distributed team.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding
• Collaborate with research scientists on generative modeling
• Improve ML pipelines for distributed GPU environments
• Conduct experiments and contribute to technical documentation

📋 Requirements

• 3+ years of ML/deep learning experience
• Bachelor's in quantitative discipline
• Python proficiency with PyTorch
• Experience with supervised and generative deep learning

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🚀 Cutting-edge AI and neuroscience projects
• 🧠 Research exposure in deep learning and BCI
• ⏰ Flexible hours with autonomy
• 📈 Career growth in fast-paced international team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Initial recruiter screen· 30 min
2. 2Technical interview with hiring manager· 60 min
3. 3Take-home assignment or live coding· 2 hours