🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and AI-driven neuroscience applications. Collaborate with cross-functional teams to advance generative modeling and representation learning initiatives. This role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions.

🎯 What You'll Do

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

📋 Requirements

• Bachelor's degree in Computer Science or quantitative discipline
• 3+ years of experience in machine learning or AI engineering
• Strong programming in Python and PyTorch
• Proven ability to design and evaluate deep learning experiments

✨ Nice to Have

• Experience with Hugging Face or Transformers
• Exposure to generative models or large language models
• PhD-level research and publications in AI/neuroscience

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 🔬 Cutting-edge AI and neuroscience technologies
• 🌍 Global collaboration with leading experts
• 🚀 Fast-paced, innovation-focused culture
• 📈 Career growth in 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