🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies in a globally distributed team. You'll collaborate with research scientists to advance generative AI and representation learning initiatives. This role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling.
• Improve ML pipelines for performance and scalability.
• Contribute to research experiments and documentation.

📋 Requirements

• Bachelor's in Computer Science, Math, Physics, or related field.
• 3+ years professional or research experience in machine learning.
• Strong Python skills and experience with PyTorch.
• Solid understanding of supervised and generative deep learning techniques.

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers.
• Familiarity with neural data like EEG, fMRI, or MEG.
• PhD-level research and publications in AI or neuroscience.

🎁 Benefits & Perks

• 🏠 Fully remote work environment.
• 🚀 Cutting-edge AI and neuroscience projects.
• 🌍 Global collaboration with leading experts.
• 📈 Career growth in fast-paced organization.
• 💡 Autonomy and ownership over impactful work.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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