🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain decoding and AI-driven neuroscience applications, collaborating with cross-functional teams. Your work will advance generative modeling and representation learning in a fast-paced remote environment. This role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding applications.
• Collaborate with research scientists on generative modeling initiatives.
• Improve ML pipelines for high performance across distributed systems.
• Contribute to research activities including experimentation and documentation.

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏠 Fully remote work environment with global collaboration.
• 🔬 Work on cutting-edge AI and neuroscience technologies.
• 📈 Exposure to advanced research initiatives in deep learning and generative AI.
• 🌐 Collaborate with leading experts in AI, fintech, and decentralized tech.
• 🚀 Fast-paced, innovation-focused culture with autonomy and ownership.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 15 min