🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain decoding and AI-driven neuroscience applications. Collaborate with research scientists to advance generative modeling and representation learning initiatives. This role offers exposure to cutting-edge AI research while focusing on practical engineering solutions.

🎯 What You'll Do

• Develop and optimize scalable deep learning models for brain decoding.
• Advance generative modeling and representation learning initiatives.
• Improve ML pipelines for performance, scalability, and reliability.
• Conduct research experiments and document findings.

📋 Requirements

• Bachelor's in CS, Math, Physics, Statistics, Neuroscience, or Informatics.
• 3+ years professional or research experience in ML or AI engineering.
• Strong Python skills and experience with PyTorch.
• Solid understanding of supervised, self-supervised, and generative deep learning.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work globally.
• 🚀 Cutting-edge AI and neuroscience technologies.
• 🔬 Exposure to advanced research in deep learning and BCI.
• 🤝 Collaborate with leading experts in AI and fintech.
• 📈 Career growth in fast-paced international org.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min