🛠 Tech Stack

💼 About This Role

You'll develop deep learning models for brain-computer interface technologies and contribute to generative AI systems that decode neural activity. You will collaborate with multidisciplinary experts to build scalable ML infrastructure. This role offers strong exposure to research-oriented work with practical engineering focus.

🎯 What You'll Do

• Develop and train scalable deep learning models for brain decoding
• Collaborate with research scientists on generative modeling initiatives
• Improve ML pipelines for performance and reliability across distributed systems
• Contribute to research activities including experimentation and documentation

📋 Requirements

• Bachelor's in Computer Science, Math, Physics, or related quantitative field
• 3+ years in machine learning, deep learning, or AI engineering
• Python and PyTorch, understanding multiple deep learning techniques
• Ability to design experiments and evaluate models scientifically

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global collaboration
• 🔬 Cutting-edge AI and neuroscience technologies with real-world impact
• 📈 Career growth opportunities in a rapidly evolving international organization
• ⏰ Flexible hours and autonomous work culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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