🛠 Tech Stack

💼 About This Role

You'll work on a globally distributed team developing brain-computer interface and deep learning systems to decode neural activity. You will build scalable ML models and AI infrastructure that bridge research and real-world applications in neuroscience and digital finance.

🎯 What You'll Do

• Develop and optimize scalable deep learning models for brain decoding
• Collaborate with research scientists on generative modeling and representation learning
• Improve ML pipelines for performance, scalability, and reliability across distributed GPU systems
• Conduct experiments, hypothesis testing, and technical documentation

📋 Requirements

• Bachelor's degree in quantitative discipline (CS, Math, Physics, etc.)
• 3+ years of professional or research experience in ML or deep learning
• Strong Python programming and PyTorch experience
• Solid understanding of supervised, self-supervised, and generative deep learning techniques

✨ Nice to Have

• Generative models or LLMs experience
• Experience with neural data (EEG, fMRI, MEG)
• PhD and publications in AI or neuroscience conferences

🎁 Benefits & Perks

• 🌍 Fully remote global collaboration
• 🔬 Cutting-edge AI and neuroscience projects
• 🚀 Fast-paced, innovation-focused culture with autonomy
• 📈 Career growth in international organization
• 💡 Exposure to advanced research in deep learning and brain-computer interfaces

📨 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