🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface and generative AI systems, working with a distributed team at the intersection of AI, neuroscience, and digital finance. Your work will decode neural activity and push research boundaries into real-world applications. This role offers strong exposure to research with practical engineering impact.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding
• Collaborate with research scientists on generative modeling
• Maintain ML pipelines for distributed GPU environments
• Contribute to experimentation and technical documentation

📋 Requirements

• Bachelor's degree in Computer Science or quantitative field
• 3+ years machine learning or AI engineering experience
• Strong Python and PyTorch experience
• Experience with deep learning techniques (supervised, self-supervised, generative)

✨ Nice to Have

• Experience with Hugging Face, Transformers, or Diffusers
• PhD or publications in AI/neuroscience
• Background with neural data (EEG, fMRI, MEG)

🎁 Benefits & Perks

• 🌍 Fully remote global collaboration
• 🧠 Cutting-edge AI and neuroscience projects
• 📈 Career growth in fast-paced organization
• 🔬 Research exposure with top experts
• 🏖️ Flexible environment with autonomy

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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