🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface applications. Your work will decode neural activity and advance generative AI. You'll collaborate remotely with a global team of research scientists and engineers.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding
• Improve ML pipelines for performance and scalability
• Collaborate with research scientists on generative modeling
• Document experiments and contribute to publications

📋 Requirements

• 3+ years in machine learning or AI engineering
• Python and PyTorch proficiency
• Understanding of supervised, self-supervised, and generative deep learning
• Experience with large or unstructured datasets

✨ Nice to Have

• Familiarity with Hugging Face, Transformers, Diffusers
• Experience with generative models or LLMs
• PhD or publications in AI/neuroscience

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• 🧠 Cutting-edge AI and neuroscience projects
• 📈 Career growth in a fast-paced organization
• 🤝 Global collaboration with experts
• ⏰ Flexible hours and 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