🛠 Tech Stack

💼 About This Role

You'll join a globally distributed team developing brain-computer interface technologies and generative AI systems to decode neural activity. You will build scalable ML models and infrastructure bridging research and real-world applications. This role offers strong exposure to advanced AI research in a fast-paced remote environment.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding
• Improve ML pipelines for distributed GPU environments
• Contribute to research experimentation and documentation
• Deploy AI models across diverse computing environments

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Fully remote work
• 🔬 Cutting-edge AI and neuroscience projects
• 🌍 Global collaboration with leading experts
• 🚀 Fast-paced innovation culture with autonomy

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 1 week