🛠 Tech Stack

💼 About This Role

You'll develop deep learning models for brain-computer interfaces and neuroscience applications. You'll collaborate with researchers to build scalable ML infrastructure and contribute to publications. This role offers remote work on cutting-edge AI research with real-world impact.

🎯 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 scalability and reliability on GPU systems.
• Conduct experiments, document findings, and support scientific publications.

📋 Requirements

• Bachelor's in Computer Science, Math, Physics, or related field.
• 3+ years experience in machine learning or AI engineering.
• Strong Python skills and experience with PyTorch.
• Understanding of supervised, self-supervised, and generative techniques.

✨ Nice to Have

• Experience with Hugging Face, Transformers, or Diffusers.
• Experience with generative models or neural data (EEG, fMRI, MEG).
• PhD-level research experience with publications.

🎁 Benefits & Perks

• 🏠 Fully remote work with global collaboration.
• 🧠 Cutting-edge AI and neuroscience projects.
• 📈 Autonomy and ownership in a fast-paced culture.
• 🌍 International team and career growth opportunities.
• 📚 Continuous learning environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Project· 2 hours
4. 4Final Interview with Team· 45 min