🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies within a globally distributed team. Your work will decode neural activity using generative AI systems, bridging research and real-world applications.

🎯 What You'll Do

• Develop and optimize scalable deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling and representation learning.
• Maintain ML pipelines for high performance and reliability.
• Contribute to research experiments, documentation, and publications.

📋 Requirements

• Bachelor's degree in a quantitative discipline such as Computer Science or Mathematics.
• 3+ years of experience in deep learning or AI engineering.
• Strong programming skills in Python and hands-on experience with PyTorch.
• Solid understanding of supervised, self-supervised, semi-supervised, and generative deep learning techniques.

✨ Nice to Have

• PhD-level research experience and publications in AI or neuroscience conferences.
• Experience with generative models, large language models, or neural data (EEG, fMRI, MEG).
• Familiarity with Hugging Face, Transformers, Diffusers, or Accelerator.

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global collaboration.
• 🧠 Cutting-edge AI and neuroscience technologies with real-world impact.
• 📈 Career growth opportunities within a rapidly evolving organization.
• 🕒 Flexible hours and autonomy.
• 🤝 Collaborate with leading experts in AI, fintech, and decentralized tech.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Team fit interview· 45 min