🛠 Tech Stack

💼 About This Role

You'll join a globally distributed team working at the intersection of AI, neuroscience, and digital finance. You'll develop scalable deep learning models for brain-computer interfaces and generative AI systems. This role offers strong exposure to research while maintaining a practical engineering focus.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding applications.
• Collaborate with research scientists on generative modeling initiatives.
• Maintain ML pipelines for performance and scalability across GPU systems.
• Contribute to research activities, experimentation, and documentation.

📋 Requirements

• Bachelor's degree in a quantitative discipline (CS, Math, Physics, etc.).
• 3+ years of experience in machine learning or AI engineering.
• Strong programming skills in Python and PyTorch.
• Experience with supervised, self-supervised, and generative deep learning.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global collaboration.
• 🧠 Cutting-edge AI and neuroscience technologies with real-world impact.
• 🚀 Fast-paced culture with significant autonomy and ownership.
• 📈 Career growth within a rapidly evolving international organization.
• 🕒 Flexible schedule and globally distributed team.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min