🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface and neuroscience applications, collaborating with a globally distributed team. Your core impact lies in optimizing AI pipelines and GPU infrastructure for cutting-edge research. This role blends autonomy with exposure to advanced generative AI and neural decoding.

🎯 What You'll Do

• Develop and train scalable deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling initiatives.
• Optimize ML pipelines for distributed GPU environments.
• Contribute to research experiments and technical documentation.

📋 Requirements

• Bachelor's in CS, Math, Physics, or related quantitative field.
• 3+ years of ML or deep learning experience.
• Strong Python and PyTorch skills.
• Solid understanding of supervised and generative deep learning.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote global collaboration.
• 🧠 Cutting-edge AI/neuroscience projects.
• 📈 Career growth in an international organization.
• ⚡ Autonomy and ownership in a fast-paced culture.
• 🤝 Collaboration with leading experts in fintech and decentralized tech.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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