🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface and neuroscience applications. You'll collaborate with research scientists to advance generative modeling and representation learning. This role offers strong exposure to research while maintaining a practical focus on engineering.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling initiatives.
• Improve ML pipelines for performance, scalability, and reliability.
• Contribute to research activities and technical documentation.

📋 Requirements

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

✨ Nice to Have

• Familiarity with Hugging Face, Transformers, or Diffusers.
• Experience with neural data such as EEG, fMRI, or MEG.
• PhD-level research experience and publications.

🎁 Benefits & Perks

• 🏖️ Fully remote work environment.
• 🧠 Work on cutting-edge AI and neuroscience technologies.
• 🌍 Global collaboration with leading experts.
• ⚡ Fast-paced, innovation-focused culture with autonomy.
• 📈 Career growth opportunities in a rapidly evolving organization.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview· 60 min