🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interfaces and AI-driven neuroscience. Your core impact will be advancing generative AI systems that decode neural activity. This role offers strong exposure to research while maintaining a practical focus on engineering solutions.

🎯 What You'll Do

• Develop and train scalable deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling initiatives.
• Improve ML pipelines for performance, scalability, and reliability.
• Conduct research experiments and contribute to scientific publications.

📋 Requirements

• Bachelor's degree in a quantitative discipline
• 3+ years of experience in ML, deep learning, or AI engineering
• Python programming and PyTorch experience
• Supervised and self-supervised learning techniques

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers
• Experience with generative models or neural data (EEG, fMRI, MEG)

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 📄 Cutting-edge projects in AI and neuroscience
• 🔬 Research exposure in deep learning and generative AI
• 🌍 Global collaboration with leading experts
• 🚀 Autonomy and ownership in a fast-paced culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 1 week