🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies, collaborating with a globally distributed team. You'll drive AI infrastructure improvements and contribute to research initiatives in generative AI and neuroscience with real-world impact.

🎯 What You'll Do

• Develop and train scalable deep learning models for brain decoding
• Collaborate on generative modeling and representation learning initiatives
• Improve ML pipelines across distributed GPU environments
• Maintain code quality and reproducibility

📋 Requirements

• 3+ years of professional or research experience in machine learning
• Python programming skills
• Hands-on experience with PyTorch
• Understanding of deep learning techniques (supervised, self-supervised, generative)

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers, or Accelerator
• PhD-level research in AI or neuroscience
• Experience with neural data (EEG, fMRI, MEG)

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 🔬 Cutting-edge AI and neuroscience technologies
• 📈 Career growth opportunities
• 🌍 Global collaboration with leading experts
• ⚡ Autonomy and ownership in fast-paced culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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