🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and collaborate with multidisciplinary experts to build cutting-edge AI infrastructure. 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 applications
• Collaborate with research scientists on generative modeling initiatives
• Improve ML pipelines for performance and reliability on GPU systems
• Conduct experiments and document findings for scientific publications

📋 Requirements

• Bachelor's degree in a quantitative discipline
• 3+ years of experience in machine learning or AI engineering
• Python programming and PyTorch framework experience
• Solid understanding of supervised and generative deep learning

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote global collaboration
• 🧠 Cutting-edge AI and neuroscience work
• 🚀 Autonomy and ownership in fast-paced culture
• 📈 Career growth in international organization
• 🕒 Flexible work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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