🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies while collaborating with a globally distributed team. Your work will directly impact AI-driven neuroscience applications and generative AI systems. This role offers strong exposure to research-oriented projects with practical engineering focus.

🎯 What You'll Do

• Develop and optimize scalable deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling initiatives.
• Improve machine learning pipelines for distributed GPU environments.
• Contribute to research activities and technical documentation.

📋 Requirements

• Bachelor’s degree in Computer Science, Mathematics, or related quantitative field.
• 3+ years of professional or research experience in machine learning or deep learning.
• Strong Python programming skills and hands-on experience with PyTorch.
• Proven ability to design experiments and evaluate models scientifically.

✨ Nice to Have

• Experience with Hugging Face, Transformers, or Diffusers.
• Familiarity with generative models or large language models.
• PhD-level research and publications in AI or neuroscience.

🎁 Benefits & Perks

• 🏖️ Fully remote work with global collaboration opportunities.
• 🔬 Work on cutting-edge AI and neuroscience technologies.
• 📈 Career growth in a rapidly evolving international organization.
• ⚡ Autonomy and ownership in a fast-paced innovation culture.
• 🌍 Flexible globally distributed work environment.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Technical Interview· 60 min
3. 3Hiring Decision· 1 week