🛠 Tech Stack

💼 About This Role

You'll join a globally distributed team working at the intersection of AI, neuroscience, and digital finance, contributing to brain-computer interface technologies and deep learning models. Your core impact will be developing scalable ML infrastructure to decode neural activity and advance generative AI systems. 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 scalable 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 experimentation and technical documentation.

📋 Requirements

• 3+ years of professional or research experience in machine learning or deep learning.
• Strong programming skills in Python and hands-on experience with PyTorch.
• Solid understanding of supervised, self-supervised, semi-supervised, and generative deep learning techniques.
• Bachelor's degree in Computer Science, Mathematics, Physics, Statistics, Neuroscience, or Informatics.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration opportunities.
• 🧠 Cutting-edge AI and neuroscience technologies with real-world impact.
• 📚 Exposure to advanced research in deep learning and brain-computer interfaces.
• 🚀 Fast-paced, innovation-focused culture with significant autonomy.
• 📈 Career growth opportunities within a rapidly evolving international organization.

📨 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
4. 4Final Round· 45 min

🚩 Heads Up

• Department listed as 'Security & IT' but role is ML Engineering
• Neuroscience focus may require specialized knowledge beyond typical ML engineer duties
• Vague company details and posted by third party without clear partner name