🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interfaces and AI-driven neuroscience applications. You will collaborate with multidisciplinary experts to advance generative modeling and deploy AI infrastructure in a fast-paced remote environment.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding
• Collaborate with researchers on generative modeling initiatives
• Maintain machine learning pipelines for scalability and reliability
• Contribute to research experiments and technical documentation

📋 Requirements

• Bachelor's degree in quantitative discipline
• 3+ years of machine learning or AI engineering experience
• Strong Python skills and PyTorch experience
• Experience with supervised and generative deep learning techniques

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏠 Fully remote work with global collaboration
• 🧠 Cutting-edge AI and neuroscience technologies
• 📈 Career growth in international organization
• ⚡ Fast-paced, innovation-focused culture
• 🔬 Advanced research initiatives in deep learning

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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