🛠 Tech Stack

💼 About This Role

You'll develop deep learning models for brain-computer interface technologies, collaborating with multidisciplinary experts. You'll contribute to generative AI systems decoding neural activity, pushing boundaries of research and real-world applications.

🎯 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 high performance, scalability, and reliability.
• Contribute to research experimentation, documentation, and publications.

📋 Requirements

• Bachelor's degree in Computer Science, Mathematics, or related field.
• 3+ years of experience in machine learning or deep learning.
• Strong programming skills in Python with PyTorch experience.
• Solid understanding of supervised, self-supervised, and generative deep learning.

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers, or Accelerator.
• PhD-level research experience in AI or neuroscience conferences.
• Experience with neural data such as EEG, fMRI, or MEG.

🎁 Benefits & Perks

• 🏠 Fully Remote work environment with global collaboration.
• 🔬 Cutting-edge AI and neuroscience technologies.
• 📈 Career growth opportunities within a rapidly evolving organization.
• ⏰ Flexible schedule in a globally distributed team.
• 🧠 Exposure to advanced research initiatives in deep learning and BCI.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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