🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and generative AI systems. Collaborate with multidisciplinary experts to decode neural activity and build production-ready AI infrastructure. This fully remote role offers exposure to advanced research initiatives while maintaining practical engineering focus.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding.
• Collaborate with research scientists on generative modeling.
• Improve ML pipelines for performance and scalability.
• Contribute to research experiments and technical documentation.

📋 Requirements

• Bachelor's degree in quantitative discipline (CS, Math, Physics, etc.)
• 3+ years experience in machine learning or deep learning
• Python and PyTorch proficiency
• Experience with supervised and generative deep learning techniques

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global collaboration
• 🧠 Cutting-edge AI and neuroscience technologies
• 📈 Career growth in international organization
• ⏰ Flexible schedule and autonomy
• 🔬 Research-oriented work with real-world impact

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 1 week