🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and generative AI systems. Your work directly decodes neural activity, pushing boundaries of research and real-world applications in a globally distributed remote team.

🎯 What You'll Do

• Develop and train deep learning models for brain decoding and neuroscience applications.
• Collaborate with research scientists on generative modeling and representation learning.
• Optimize ML pipelines for performance, scalability, and reliability across distributed systems.
• Conduct research experiments and contribute to technical documentation and publications.

📋 Requirements

• Bachelor's degree in Computer Science, Math, Physics, Statistics, Neuroscience, or related field.
• 3+ years of experience in machine learning, deep learning, or AI engineering.
• Strong Python skills and hands-on experience with PyTorch.
• Solid understanding of supervised, self-supervised, and generative deep learning techniques.

✨ 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 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.
• 🔬 Advanced research initiatives in deep learning and brain-computer interfaces.
• 📈 Career growth within a rapidly evolving international organization.
• ⏰ Flexible, globally distributed work environment valuing transparency and innovation.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Take-home assignment· 2 hours